# AI Terminology, Generative AI, LLM, Nvidia, ChatGPT # Introduction 1\. Introduction to Generative AI Click here๐Ÿ‘‡ ๐Ÿ”—[https://lnkd.in/dDsPdaSQ](https://lnkd.in/dDsPdaSQ) 2\. Introduction to Large Language Models Click here๐Ÿ‘‡ [https://lnkd.in/dz8gSigz](https://lnkd.in/dz8gSigz) 3\. Introduction to Responsible AI Click here๐Ÿ‘‡ [https://lnkd.in/dmnvy9E6](https://lnkd.in/dmnvy9E6) 4\. Generative AI Fundamentals Click here๐Ÿ‘‡ [https://lnkd.in/dqjqjqMn](https://lnkd.in/dqjqjqMn) 5\. Introduction to Image Generation Click here๐Ÿ‘‡ [https://lnkd.in/dQwd6Epr](https://lnkd.in/dQwd6Epr) 6\. Encoder-Decoder Architecture Click here๐Ÿ‘‡ [https://lnkd.in/d3uTGM9H](https://lnkd.in/d3uTGM9H) 7\. Attention Mechanism Click here๐Ÿ‘‡ [https://lnkd.in/dbUGGNh5](https://lnkd.in/dbUGGNh5) 8\. Transformer Models and BERT Model Click here๐Ÿ‘‡ [https://lnkd.in/d7btz3Gr](https://lnkd.in/d7btz3Gr) 9\. Create Image Captioning Models Click here๐Ÿ‘‡ [https://lnkd.in/dex4nXh7](https://lnkd.in/dex4nXh7) 10\. Introduction to Generative AI Studio Click here๐Ÿ‘‡ [https://lnkd.in/dEhtjXP6](https://lnkd.in/dEhtjXP6) 11\. AI Essentials: [https://lnkd.in/dyEt4DGt](https://lnkd.in/dyEt4DGt) 12\. ChatGPT Mastery [https://lnkd.in/eiRtk-6q](https://lnkd.in/eiRtk-6q) 13\. Google AI Magic [https://lnkd.in/eBQXfBe9](https://lnkd.in/eBQXfBe9) 14\. Harvard AI Intro [https://lnkd.in/eu4mZaAG](https://lnkd.in/eu4mZaAG) 15\. Microsoft AI Basics [https://lnkd.in/eYNWzXUX](https://lnkd.in/eYNWzXUX) 16\. Prompt Engineering Pro [https://lnkd.in/eNi\_YNSe](https://lnkd.in/eNi_YNSe) 17\. Google's Ethical AI: [https://lnkd.in/eTrwSU89](https://lnkd.in/eTrwSU89) 18\. ML by Harvard [https://lnkd.in/eX28syMJ](https://lnkd.in/eTrwSU89) 19\. LangChain LLMs: [https://lnkd.in/evZVJbNy](https://lnkd.in/evZVJbNy) 20\. Bing Chat Boost: [https://lnkd.in/ejN-qrVy](https://lnkd.in/ejN-qrVy) 21\. Visionary LLM Apps: [https://bit.ly/46ACTS8](https://bit.ly/46ACTS8) 22\. Generative AI by MS: [https://lnkd.in/dqjnzcCD](https://lnkd.in/dqjnzcCD) 23\. Amazon's AI Strategy: [https://lnkd.in/dFhmsvZC](https://lnkd.in/dFhmsvZC) 24\. AI for All: [https://lnkd.in/eFx7zCz7](https://lnkd.in/eFx7zCz7) 25\. AWS AI Foundations: [https://lnkd.in/dEjN9PRm](https://lnkd.in/dEjN9PRm) # Generative AI Terms [![generative_terms.jpeg](https://resources.planforfailure.com/uploads/images/gallery/2024-04/scaled-1680-/VCGHSg6xTrnj29t8-generative-terms.jpeg)](https://resources.planforfailure.com/uploads/images/gallery/2024-04/VCGHSg6xTrnj29t8-generative-terms.jpeg) To succeed in the future, you MUST learn A.I. 22 Top AI Resources to get up to speed (for free) 2\. Elements of AI. \- Beginner's guide to AI and its usage. [https://lnkd.in/e427eQ6T](https://lnkd.in/e427eQ6T) 3\. AI For Everyone \- Get a solid start and broad overview of the field. [https://lnkd.in/eDfw4dFv](https://lnkd.in/eDfw4dFv) 4\. Learn AI & machine learning - with Google -If you're looking to kickstart an AI career. [https://lnkd.in/e9i\_pWbK](https://lnkd.in/e9i_pWbK) 5\. The difference between: \- AI \- Machine Learning \- Deep Learning \- Neural Networks [https://lnkd.in/e282DDuS](https://lnkd.in/e282DDuS) 6\. 28 AI Terms You Need to Know: [https://lnkd.in/eWB7J8bF](https://lnkd.in/eWB7J8bF) 7\. Machine Learning Glossary | Google Developers: [https://lnkd.in/ezCfXcUR](https://lnkd.in/ezCfXcUR) 8\. How to save your career from ChatGPT: [https://lnkd.in/e4rynfA4](https://lnkd.in/e4rynfA4) 9\. What Is ChatGPT Doing, and Why Does It Work: [https://lnkd.in/eR4Nmxv4](https://lnkd.in/eR4Nmxv4) 10\. AUTO-GPT - Autonomous GPT-4: [https://lnkd.in/eusUiYn5](https://lnkd.in/eusUiYn5) 11\. AUTO-GPT: -An experimental open-source attempt to make GPT-4 fully autonomous. [https://lnkd.in/eY9YtTsf](https://lnkd.in/eY9YtTsf) 12\. Learn Prompting: [https://lnkd.in/e8dwC8w9](https://lnkd.in/e8dwC8w9) 13\. Prompt Engineering Guide: [https://lnkd.in/eMwTD76g](https://lnkd.in/eMwTD76g) 14\. Python Full Course for Beginners: [https://lnkd.in/ecBm7Gty](https://lnkd.in/ecBm7Gty) 15\. CS50 Introduction to Artificial Intelligence: [https://lnkd.in/efPQvrk2](https://lnkd.in/efPQvrk2) 16\. Mathematics for Machine Learning & Data Science: [https://lnkd.in/eYASHPKY](https://lnkd.in/eYASHPKY) 17\. Stanford CS229 - Machine Learning: [https://lnkd.in/e2\_eXc3n](https://lnkd.in/e2_eXc3n) 18\. GitHub - dair-ai/ML-YouTube-Courses: [https://lnkd.in/evkWGt-u](https://lnkd.in/evkWGt-u) 19\. Practical Deep Learning for Coders: Part 1: [https://course.fast.ai/](https://course.fast.ai/) Part 2: [https://lnkd.in/e\_vunHwD](https://lnkd.in/e_vunHwD) 20\. How will AI change the world? [https://lnkd.in/eb\_-wEPb](https://lnkd.in/eb_-wEPb) 21\. AutoGPT's massive potential and risk: [https://lnkd.in/eGwP-FqU](https://lnkd.in/eGwP-FqU) 22\. More Important Resources: -I did a similar list a few weeks ago [https://lnkd.in/eyHW-e5U](https://lnkd.in/eyHW-e5U) 1. Introduction to Generative AI Click here๐Ÿ‘‡ ๐Ÿ”—[https://lnkd.in/dDsPdaSQ](https://lnkd.in/dDsPdaSQ) 2\. Introduction to Large Language Models Click here๐Ÿ‘‡ [https://lnkd.in/dz8gSigz](https://lnkd.in/dz8gSigz) 3\. Introduction to Responsible AI Click here๐Ÿ‘‡ [https://lnkd.in/dmnvy9E6](https://lnkd.in/dmnvy9E6) 4\. Generative AI Fundamentals Click here๐Ÿ‘‡ [https://lnkd.in/dqjqjqMn](https://lnkd.in/dqjqjqMn) 5\. Introduction to Image Generation Click here๐Ÿ‘‡ [https://lnkd.in/dQwd6Epr](https://lnkd.in/dQwd6Epr) 6\. Encoder-Decoder Architecture Click here๐Ÿ‘‡ [https://lnkd.in/d3uTGM9H](https://lnkd.in/d3uTGM9H) 7\. Attention Mechanism Click here๐Ÿ‘‡ [https://lnkd.in/dbUGGNh5](https://lnkd.in/dbUGGNh5) 8\. Transformer Models and BERT Model Click here๐Ÿ‘‡ [https://lnkd.in/d7btz3Gr](https://lnkd.in/d7btz3Gr) 9\. Create Image Captioning Models Click here๐Ÿ‘‡ [https://lnkd.in/dex4nXh7](https://lnkd.in/dex4nXh7) 10\. Introduction to Generative AI Studio Click here๐Ÿ‘‡ [https://lnkd.in/dEhtjXP6](https://lnkd.in/dEhtjXP6) 11\. AI Essentials: [https://lnkd.in/dyEt4DGt](https://lnkd.in/dyEt4DGt) 12\. ChatGPT Mastery [https://lnkd.in/eiRtk-6q](https://lnkd.in/eiRtk-6q) 13\. Google AI Magic [https://lnkd.in/eBQXfBe9](https://lnkd.in/eBQXfBe9) 14\. Harvard AI Intro [https://lnkd.in/eu4mZaAG](https://lnkd.in/eu4mZaAG) 15\. Microsoft AI Basics [https://lnkd.in/eYNWzXUX](https://lnkd.in/eYNWzXUX) 16\. Prompt Engineering Pro [https://lnkd.in/eNi\_YNSe](https://lnkd.in/eNi_YNSe) 17\. Google's Ethical AI: [https://lnkd.in/eTrwSU89](https://lnkd.in/eTrwSU89) 18\. ML by Harvard [https://lnkd.in/eX28syMJ](https://lnkd.in/eX28syMJ) 19\. LangChain LLMs: [https://lnkd.in/evZVJbNy](https://lnkd.in/evZVJbNy) 20\. Bing Chat Boost: [https://lnkd.in/ejN-qrVy](https://lnkd.in/ejN-qrVy) 21\. Visionary LLM Apps: [https://bit.ly/46ACTS8](https://bit.ly/46ACTS8) 22\. Generative AI by MS: [https://lnkd.in/dqjnzcCD](https://lnkd.in/dqjnzcCD) 23\. Amazon's AI Strategy: [https://lnkd.in/dFhmsvZC](https://lnkd.in/dFhmsvZC) 24\. AI for All: [https://lnkd.in/eFx7zCz7](https://lnkd.in/eFx7zCz7) 25\. AWS AI Foundations: [https://lnkd.in/dEjN9PRm](https://lnkd.in/dEjN9PRm) # AI Terminology ๐—”๐—œ: The overarching world of Artificial Intelligence, transforming industries. \- ๐— ๐—Ÿ: Machine Learning's role in shaping intelligent systems. \- ๐——๐—ฒ๐—ฒ๐—ฝ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: Neural networks for human-like thinking. \- ๐—ก๐—ฒ๐˜‚๐—ฟ๐—ฎ๐—น ๐—ก๐—ฒ๐˜๐˜„๐—ผ๐—ฟ๐—ธ: Mimicking human brain functions for learning. \- ๐—ฆ๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: Teaching computers with labelled examples. \- ๐—จ๐—ป๐˜€๐˜‚๐—ฝ๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐˜€๐—ฒ๐—ฑ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: Machines finding patterns without labels. \- ๐—ฅ๐—ฒ๐—ถ๐—ป๐—ณ๐—ผ๐—ฟ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: Trial-and-error learning for machines. \- ๐—ก๐—Ÿ๐—ฃ: Tech enabling computers to understand human language. \- ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ฒ๐—ฟ ๐—ฉ๐—ถ๐˜€๐—ถ๐—ผ๐—ป: Machines interpreting visual information. \- ๐—–๐—ต๐—ฎ๐˜๐—ฏ๐—ผ๐˜: Conversational AI for customer support and more. \- ๐—œ๐—ข๐—ง: Devices connected, sharing data for smart applications. \- ๐—–๐—น๐—ผ๐˜‚๐—ฑ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ถ๐—ป๐—ด: Remote storage, management, and data processing. \- ๐—•๐—ถ๐—ฎ๐˜€ ๐—ถ๐—ป ๐—”๐—œ: Addressing unintentional biases in algorithms. \- ๐—”๐—น๐—ด๐—ผ๐—ฟ๐—ถ๐˜๐—ต๐—บ: Core of AI, the building block for intelligent systems. \- ๐——๐—ฎ๐˜๐—ฎ ๐— ๐—ถ๐—ป๐—ถ๐—ป๐—ด: Extracting patterns and insights from vast datasets. \- ๐—•๐—ถ๐—ด ๐——๐—ฎ๐˜๐—ฎ:Navigating challenges with massive and diverse data. \- ๐—ฅ๐—ผ๐—ฏ๐—ผ๐˜๐—ถ๐—ฐ๐˜€: Merging AI with physical machines for automation. \- ๐—”๐—น๐—ด๐—ผ๐—ฟ๐—ถ๐˜๐—ต๐—บ๐—ถ๐—ฐ ๐—™๐—ฎ๐—ถ๐—ฟ๐—ป๐—ฒ๐˜€๐˜€: Ensuring fairness and avoiding bias in AI. \- ๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—ณ๐—ฒ๐—ฟ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: Applying knowledge for enhanced AI efficiency. \- ๐—˜๐—ฑ๐—ด๐—ฒ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ถ๐—ป๐—ด: Localised AI implementation for efficiency. \- ๐—˜๐˜…๐—ฝ๐—น๐—ฎ๐—ถ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—”๐—œ: Making AI decisions transparent and understandable. \- ๐—š๐—”๐—ก๐˜€: AI creating realistic data through adversarial networks. \- ๐—˜๐—ฑ๐—ด๐—ฒ ๐—”๐—œ: Localised AI for reduced reliance on centralised servers. \- ๐—”๐—œ ๐—˜๐˜๐—ต๐—ถ๐—ฐ๐˜€: Guiding principles for responsible AI development. # Nvidia - AI, ML, Data Science 1. Generative AI Explained - [https://lnkd.in/e5Rhxhgp](https://lnkd.in/e5Rhxhgp) 2\. Augmenting LLMs using Retrieval Augmented Generation - [https://lnkd.in/enGnZ3CK](https://lnkd.in/enGnZ3CK) 3\. Building Video AI Applications at the Edge on Jetson Nano - [https://lnkd.in/ef-RpZ\_G](https://lnkd.in/ef-RpZ_G) 4\. Getting Started with AI on Jetson Nano - [https://lnkd.in/eQCMQnSD](https://lnkd.in/eQCMQnSD) 5\. Digital Fingerprinting with Morpheus - [https://lnkd.in/eV2RUhpY](https://lnkd.in/eV2RUhpY) 6\. An Even Easier Introduction to CUDE - [https://lnkd.in/exazrhkG](https://lnkd.in/exazrhkG) 7\. Building RAG Agents with LLMs - [https://lnkd.in/ev5auDW5](https://lnkd.in/ev5auDW5) 8\. Building A Brain in 10 Minutes - [https://lnkd.in/eiMaNGHi](https://lnkd.in/eiMaNGHi) 9\. Accelerate Data Science Workflows with Zero Code Changes - [https://lnkd.in/ewYDMUCE](https://lnkd.in/ewYDMUCE) # LLM Overview
๐—•๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ ๐—•๐—ฎ๐˜€๐—ถ๐—ฐ ๐—™๐—ถ๐—ป๐—ฒ-๐—ง๐˜‚๐—ป๐—ถ๐—ป๐—ด: While fine-tuning adapts LLMs to specific tasks, its limitations are becoming clear. High computational costs, potential "catastrophic forgetting," and challenges achieving deep domain expertise call for innovative approaches. ๐—˜๐—ป๐˜๐—ฒ๐—ฟ ๐—ฅ๐—ฒ๐˜๐—ฟ๐—ถ๐—ฒ๐˜ƒ๐—ฎ๐—น-๐—”๐˜‚๐—ด๐—บ๐—ฒ๐—ป๐˜๐—ฒ๐—ฑ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐—ผ๐—ป (๐—ฅ๐—”๐—š): RAG equips LLMs with an open book of relevant information, retrieving key passages from a knowledge base to provide factual context and enhance responses beyond the LLM's training data. This leads to: - Improved Accuracy: Reduces hallucinations and factual errors by grounding responses in real-world information. - Domain Expertise: Injects domain-specific knowledge for richer, more targeted outputs. - Reduced Training Costs: Focuses fine-tuning on generation, requiring less labeled data. ๐—œ๐—ป๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ง๐˜‚๐—ป๐—ถ๐—ป๐—ด ๐—ฆ๐—ฒ๐—พ๐˜‚๐—ฒ๐—ป๐—ฐ๐—ฒ๐˜€ (๐—œ๐—ง๐—ฆ): While RAG excels at accessing external knowledge, sometimes we need LLMs to become true subject-matter experts. ITS leverages domain-specific data and instructions to: - Tailor LLM Responses: Focuses on specific tasks and knowledge within your chosen domain. - Enhance Task-Specific Accuracy: Optimizes the LLM for tasks like question answering or summarization. - Explainable Results: Shows how the LLM reached its conclusions, improving interpretability. ๐—•๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ ๐—ฅ๐—”๐—š, ๐—œ๐—ง๐—ฆ, ๐—ฎ๐—ป๐—ฑ ๐—›๐˜†๐—ฏ๐—ฟ๐—ถ๐—ฑ๐˜€: The LLM landscape continues to evolve with noteworthy methods like: - Parameter-Efficient Fine-Tuning (PEFT): Reduces costs and mitigates "catastrophic forgetting" by adapting only select parameters per task. - Dense/Sparse Passage Retrieval: Retrieves information at different granularities for summarization or entity identification. - Prompt Engineering & Templates: Craft prompts to guide the LLM or use templates for consistent output formats. ๐—–๐—ต๐—ผ๐—ผ๐˜€๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐— ๐—ฒ๐˜๐—ต๐—ผ๐—ฑ: Consider the nature of your task, resources available, desired accuracy, and domain expertise needed. Experimentation and strategic combinations of methods can unlock the full potential of LLMs for your projects.
# ChatGPT # ChatGPT [![chapgpt_frameworks.jpeg](https://resources.planforfailure.com/uploads/images/gallery/2024-05/scaled-1680-/n87Vld3tnrHWUojB-chapgpt-frameworks.jpeg)](https://resources.planforfailure.com/uploads/images/gallery/2024-05/n87Vld3tnrHWUojB-chapgpt-frameworks.jpeg) [https://www.linkedin.com/feed/update/urn:li:activity:7128290580681371648/](https://dirkzee.com/newsletter/) [https://www.linkedin.com/feed/update/urn:li:activity:7130578312132718593?updateEntityUrn=urn%3Ali%3Afs\_updateV2%3A%28urn%3Ali%3Aactivity%3A7130578312132718593%2CFEED\_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29](https://www.linkedin.com/feed/update/urn:li:activity:7130578312132718593?updateEntityUrn=urn%3Ali%3Afs_updateV2%3A%28urn%3Ali%3Aactivity%3A7130578312132718593%2CFEED_DETAIL%2CEMPTY%2CDEFAULT%2Cfalse%29) The No. 1 ChatGPT Cheat Sheet: [https://lnkd.in/ePq33ZHt](https://lnkd.in/ePq33ZHt) TOP50 ChatGPT Prompts For Marketing [https://lnkd.in/eMRwJzn2](https://lnkd.in/eMRwJzn2) TOP50 PROMPTS for FOUNDERS [https://lnkd.in/e9FgNfAK](https://lnkd.in/e9FgNfAK) ChatGPT Cheat Sheet [https://lnkd.in/erHKGt53](https://lnkd.in/erHKGt53) ChatGPT explained to kids [https://lnkd.in/e8uC\_7Mh](https://lnkd.in/e8uC_7Mh) Top 50 ChatGPT prompts for sales [https://lnkd.in/eW-Rq6CA](https://lnkd.in/eW-Rq6CA) ChatGPT Cheat Sheet for Kids [https://lnkd.in/eXb8\_Vi6](https://lnkd.in/eXb8_Vi6) ChatGPT explained to Kids [https://lnkd.in/eQymPEbB](https://lnkd.in/eQymPEbB) TOP50 PROMPTS for FOUNDERS [https://lnkd.in/e9FgNfAK](https://lnkd.in/e9FgNfAK) The ChatGPT Cheat Sheet [https://lnkd.in/eBW2rHyU](https://lnkd.in/eBW2rHyU) The ChatGPT Cheat Sheet [https://lnkd.in/eB8gk\_vT](https://lnkd.in/eB8gk_vT) The ChatGPT checklist [https://lnkd.in/e2NQe\_\_x](https://lnkd.in/e2NQe__x) ChatGPT for Business [https://lnkd.in/eyRRFieM](https://lnkd.in/eyRRFieM) ChatGPT for Content Creators [https://lnkd.in/eiABmqE7](https://lnkd.in/eiABmqE7) ChatGPT explained easy [https://lnkd.in/eaA5N8Ur](https://lnkd.in/eaA5N8Ur) 10 Best ChatGPT Prompts to increase your efficiency: [https://lnkd.in/eSxGArZK](https://lnkd.in/eSxGArZK) TOP50 PROMPTS for NETWORKING [https://lnkd.in/eNZkJVRc](https://lnkd.in/eNZkJVRc) ChatGPT Cheat Sheet: Explained to Kids [https://lnkd.in/eYny7Yi8](https://lnkd.in/eYny7Yi8) ChatGPT cheatsheet [https://lnkd.in/ebAbuurB](https://lnkd.in/ebAbuurB?trk=public_post-text) # ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง & ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐Ÿญ. **๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ผ๐—ณ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด - [https://lnkd.in/d4\_bnrXP](https://lnkd.in/d4_bnrXP) ๐Ÿฎ. ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ ๐—ฏ๐˜† ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ - [https://lnkd.in/epnnR3Kc](https://lnkd.in/epnnR3Kc) ๐Ÿฏ. ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ฏ๐˜† ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ - [https://lnkd.in/eMi232F8](https://lnkd.in/eMi232F8) ๐Ÿฐ. ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐——๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ๐˜€ - [https://lnkd.in/dX9tFvx6](https://lnkd.in/dX9tFvx6) ๐Ÿฑ. ๐—•๐—ฒ๐˜€๐˜ ๐—ฝ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ฒ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด - [https://lnkd.in/edHHsTip](https://lnkd.in/edHHsTip) ๐Ÿฒ. ๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด - [https://lnkd.in/d5Adriv8](https://lnkd.in/d5Adriv8) ๐Ÿณ. ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—˜๐˜…๐—ฐ๐—ฒ๐—น - [https://lnkd.in/dskuNhaj](https://lnkd.in/dskuNhaj) ๐Ÿด. ๐—”๐—œ ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜† ๐—ณ๐—ผ๐—ฟ ๐——๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป ๐— ๐—ฎ๐—ธ๐—ฒ๐—ฟ๐˜€ - [https://lnkd.in/dhNUtwCQ](https://lnkd.in/dhNUtwCQ) ๐Ÿต. ๐—”๐—œ-๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ฒ๐—ฑ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ: ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง, ๐—š๐—ถ๐˜๐—ต๐˜‚๐—ฏ ๐—–๐—ผ๐—ฝ๐—ถ๐—น๐—ผ๐˜ - [https://lnkd.in/d9Eq-WXM](https://lnkd.in/d9Eq-WXM) ๐Ÿญ๐Ÿฌ. ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐˜๐—ต๐—ฒ ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—”๐—ฃ๐—œ - [https://lnkd.in/dQZMnbx3](https://lnkd.in/dQZMnbx3) ๐Ÿญ๐Ÿญ. ๐Ÿญ๐Ÿฌ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง - [https://lnkd.in/dRApZdiF](https://lnkd.in/dRApZdiF) ๐Ÿญ๐Ÿฎ. ๐Ÿญ๐Ÿต ๐—ญ๐—ฎ๐—ฝ๐—ถ๐—ฒ๐—ฟ ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—”๐˜‚๐˜๐—ผ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ - [https://lnkd.in/dknhNKgB](https://lnkd.in/dknhNKgB) ๐Ÿญ๐Ÿฏ. ๐—ฃ๐—ฒ๐—ฟ๐—ณ๐—ฒ๐—ฐ๐˜ ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—™๐—ผ๐—ฟ๐—บ๐˜‚๐—น๐—ฎ - [https://lnkd.in/dGvShniV](https://lnkd.in/dGvShniV) ๐Ÿญ๐Ÿฐ. ๐— ๐—ฎ๐—ฟ๐—ธ๐—ฒ๐˜๐—ถ๐—ป๐—ด ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง - [https://lnkd.in/dvGEKBGf](https://lnkd.in/dvGEKBGf) ๐Ÿญ๐Ÿฑ. ๐— ๐—ฎ๐—ธ๐—ฒ ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ช๐—ฟ๐—ถ๐˜๐—ฒ ๐—Ÿ๐—ถ๐—ธ๐—ฒ ๐—ฎ ๐—›๐˜‚๐—บ๐—ฎ๐—ป - [https://lnkd.in/dWTND7YJ](https://lnkd.in/dWTND7YJ) ๐Ÿญ๐Ÿฒ. ๐—–๐—ฟ๐—ฒ๐—ฎ๐˜๐—ฒ ๐—ฃ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ป๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐˜„/๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง - [https://lnkd.in/dAVyEKzq](https://lnkd.in/dAVyEKzq) ๐Ÿญ๐Ÿณ. ๐——๐—ถ๐—ฎ๐—ด๐—ฟ๐—ฎ๐—บ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—™๐—น๐—ผ๐˜„ ๐—–๐—ต๐—ฎ๐—ฟ๐˜๐˜€ ๐˜„/๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง - [https://lnkd.in/dZria8WB](https://lnkd.in/dZria8WB) ๐Ÿญ๐Ÿด. ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ ๐—ช๐—ฟ๐—ถ๐˜๐—ถ๐—ป๐—ด ๐˜„/๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง - [https://lnkd.in/dv3B8YdZ](https://lnkd.in/dv3B8YdZ) ๐Ÿญ๐Ÿต. ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐— ๐—ฎ๐—ฟ๐—ธ๐—ฒ๐˜๐—ถ๐—ป๐—ด ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜๐˜€ ๐—™๐—ผ๐—ฟ ๐Ÿฑ ๐—จ๐˜€๐—ฒ ๐—–๐—ฎ๐˜€๐—ฒ๐˜€ - [https://lnkd.in/dtAT99qS](https://lnkd.in/dtAT99qS) ๐Ÿฎ๐Ÿฌ. ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—”๐—ป๐˜† ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง - [https://lnkd.in/d8TAtzPH](https://lnkd.in/d8TAtzPH) ๐Ÿฎ๐Ÿญ. ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€ - [https://lnkd.in/diXBdEWM](https://lnkd.in/diXBdEWM) ๐Ÿฎ๐Ÿฎ. ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—”๐—ป๐˜†๐˜๐—ต๐—ถ๐—ป๐—ด ๐—™๐—ฎ๐˜€๐˜ ๐˜‚๐˜€๐—ถ๐—ป๐—ด ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง - [https://lnkd.in/dKwHnYry](https://lnkd.in/dKwHnYry) ๐Ÿฎ๐Ÿฏ. ๐Ÿญ๐Ÿฌ๐Ÿฌ๐Ÿฌ+ ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐˜๐—ฒ๐—บ๐—ฝ๐—น๐—ฎ๐˜๐—ฒ๐˜€ - [https://lnkd.in/e3a-6C6x](https://lnkd.in/e3a-6C6x) ** # ChatGPT Productivity A breakdown of the BEST GTPs ChatGPT has to offer ๐—ช๐—ฟ๐—ถ๐˜๐—ถ๐—ป๐—ด: Copywriter [https://lnkd.in/eKgNVuST](https://lnkd.in/eKgNVuST) Write For Me [https://lnkd.in/ezCWzvQr](https://lnkd.in/ezCWzvQr) CV Writer [https://lnkd.in/emSGfXJg](https://lnkd.in/emSGfXJg) Book Creator Guide [https://lnkd.in/e29CkhR3](https://lnkd.in/e29CkhR3) Blog Expert [https://lnkd.in/esma7-xx](https://lnkd.in/esma7-xx) Humanizer Pro [https://lnkd.in/eX9hep7x](https://lnkd.in/eX9hep7x) ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐˜ƒ๐—ถ๐˜๐˜† Canva [https://lnkd.in/eD99C8Dx](https://lnkd.in/eD99C8Dx) Video GPT [https://lnkd.in/eKQp5Cbv](https://lnkd.in/eKQp5Cbv) Presentation Slide [https://lnkd.in/eHYuwPnQ](https://lnkd.in/eHYuwPnQ) PDF AI [https://lnkd.in/eVM49Snd](https://lnkd.in/eVM49Snd) WebPilot [https://lnkd.in/eYWPYzKD](https://lnkd.in/eYWPYzKD) Whimsical Diagram [https://lnkd.in/envxrDRw](https://lnkd.in/envxrDRw) Adobe Express [https://lnkd.in/erWmUy-9](https://lnkd.in/erWmUy-9) ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด Codepilot [https://lnkd.in/eFJ9mbej](https://lnkd.in/eFJ9mbej) Python [https://lnkd.in/eC6fnD\_C](https://lnkd.in/eC6fnD_C) Designer GPT [https://lnkd.in/eueUet9P](https://lnkd.in/eueUet9P) WebGPT [https://lnkd.in/eiKHYi-B](https://lnkd.in/eiKHYi-B) AutoExpert (Dev) [https://lnkd.in/eNZ4iBN5](https://lnkd.in/eNZ4iBN5) AskTheCode [https://lnkd.in/exsn4wkH](https://lnkd.in/exsn4wkH) Grimoire [https://lnkd.in/eCgeDeVK](https://lnkd.in/eCgeDeVK) ๐—˜๐—ฑ๐˜‚๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป Universal Primer [https://lnkd.in/efm4Esfz](https://lnkd.in/efm4Esfz) Math [https://lnkd.in/e9km6TMZ](https://lnkd.in/e9km6TMZ) Math Solver [https://lnkd.in/eXhXax\_u](https://lnkd.in/eXhXax_u) Tutor Me [https://lnkd.in/erR69g5G](https://lnkd.in/erR69g5G) Physics [https://lnkd.in/es7DBDsV](https://lnkd.in/es7DBDsV) Voxscript [https://lnkd.in/eqVutPJN](https://lnkd.in/eqVutPJN) Machine Learning [https://lnkd.in/egtjgZTi](https://lnkd.in/egtjgZTi) # Alternate ChatGPT 1- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—˜๐—ฑ๐˜‚๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป Website: [https://learnify.ai/](https://learnify.ai/) 2- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—–๐—ผ๐—ฑ๐—ฒ๐—ฟ๐˜€ Website: [https://landingsite.ai/](https://landingsite.ai/) 3- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด Website: [https://lingobot.ai/](https://lingobot.ai/) 4- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ Website: [https://www.dante-ai.com/](https://www.dante-ai.com/) 5- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—›๐—ฒ๐—ฎ๐—น๐˜๐—ต Website: [https://medicus.ai/](https://medicus.ai/) 6- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐— ๐˜‚๐˜€๐—ถ๐—ฐ Website: [https://app.suno.ai/](https://app.suno.ai/) 7- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—œ๐—บ๐—ฎ๐—ด๐—ฒ๐˜€ Website: [https://ai.nero.com/](https://ai.nero.com/) 8- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—Ÿ๐—ฒ๐—ด๐—ฎ๐—น ๐—”๐˜€๐˜€๐—ถ๐˜€๐˜๐—ฎ๐—ป๐—ฐ๐—ฒ Website: [https://legallingo.ai/](https://legallingo.ai/) 9- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—ฆ๐—ผ๐—ฐ๐—ถ๐—ฎ๐—น ๐— ๐—ฒ๐—ฑ๐—ถ๐—ฎ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ Website: [https://socialsynth.ai/](https://socialsynth.ai/) 10- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐——๐—ฒ๐˜€๐—ถ๐—ด๐—ป Website: [https://sketchy.ai/](https://sketchy.ai/) 11- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—ช๐—ฟ๐—ถ๐˜๐—ถ๐—ป๐—ด Website: [https://aiseo.ai/](https://aiseo.ai/) 12- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—”๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜ Website: [http://archivinci.com](http://archivinci.com) 13- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐— ๐—ฎ๐—ฟ๐—ธ๐—ฒ๐˜๐—ถ๐—ป๐—ด Website: [https://marketwise.ai/](https://marketwise.ai/) 14- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ Website: [https://projexia.ai/](https://projexia.ai/) 15- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜ Website: [https://helpwise.ai/](https://helpwise.ai/) 16- ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ ๐˜„๐—ถ๐˜๐—ต ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง Website: [https://gptgo.ai/](https://gptgo.ai/) 17- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—–๐—ฟ๐—ฒ๐—ฎ๐˜๐—ผ๐—ฟ๐˜€ Website: [https://chapple.ai/](https://chapple.ai/) 18- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—ฒ๐—ฟ๐˜€๐—ผ๐—ป๐—ฎ๐—น ๐—™๐—ถ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ Website: [https://moneymind.ai/](https://moneymind.ai/) 19- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ฒ๐—ฟ๐˜€ Website: [https://www.pythagora.ai/](https://www.pythagora.ai/) 20- ๐—–๐—ต๐—ฎ๐˜๐—š๐—ฃ๐—ง ๐—ณ๐—ผ๐—ฟ ๐—˜๐˜…๐—ฐ๐—ฒ๐—น Website: [https://numerous.ai](https://numerous.ai) # ChatGPT Prompts ChatGPT Prompts That Will Change Your Life in 2025 1\. Use the 80/20 principle to learn faster Prompt: "I want to learn about \[insert topic\]. Identify and share the most important 20% of learnings from this topic to help me understand 80%." 2\. Learn and develop any new skill Prompt: "I want to learn/improve at \[insert desired skill\]. I am a complete beginner. Create a 30-day learning plan to help a beginner like me learn and improve this skill." 3\. Summarize long documents and articles Prompt: "Summarize the text below and give me a list of bullet points with key insights and the most important facts." \[Insert text\] 4\. Train ChatGPT to generate prompts for you Prompt: "You are an AI designed to help \[insert profession\]. Generate a list of the 10 best prompts for yourself. The prompts should be about \[insert topic\]." 5\. Master any new skill Prompt: "I have three free days a week and 2 months. Design a crash study plan to master \[insert desired skill\]." 6\. Simplify complex information Prompt: "Break down \[insert topic\] into smaller, easier-to-understand parts. Use analogies and real-life examples to simplify and make the concept more relatable." ๐Ÿ’ก ๐Š๐ง๐จ๐ฐ๐ฅ๐ž๐๐ ๐ž ๐ข๐ฌ ๐๐จ๐ฐ๐ž๐ซ, ๐š๐ง๐ ๐ˆ๐ญโ€™๐ฌ ๐…๐‘๐„๐„! Dive into our free courses and transform your future today. ๐ŸŒŸ๐Ÿ“˜ Job/Internship Opportunities: [https://t.me/coding\_squad](https://t.me/coding_squad) ๐—™๐—ฅ๐—˜๐—˜ (๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ) ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜†๐—ผ๐˜‚ ๐˜„๐—ถ๐—น๐—น ๐—ฟ๐—ฒ๐—ด๐—ฟ๐—ฒ๐˜ ๐—ป๐—ผ๐˜ ๐˜๐—ฎ๐—ธ๐—ถ๐—ป๐—ด. ๐Ÿ”ƒ7000+ free courses free access: https://lnkd.in/gpEhE3NX 1\. Google data Analytics: โ†’[ https://lnkd.in/gTe-4hX7](https://www.coursera.org/professional-certificates/google-data-analytics) 2\. Google Project Management: โ†’ [https://lnkd.in/ga9hFRYt](https://www.coursera.org/professional-certificates/google-project-management) 3\. Foundations of Project Management: โ†’ [https://lnkd.in/gNWJERhk](https://www.coursera.org/learn/project-management-foundations) 4\. Google Introduction to Generative AI: โ†’ [https://lnkd.in/gp\_kx-m5](https://www.coursera.org/learn/introduction-to-generative-ai) 5\. Google Cybersecurity: โ†’ [https://lnkd.in/g8d-g83Z](https://www.coursera.org/professional-certificates/google-cybersecurity) 6\. Google UX Design: โ†’ [https://lnkd.in/gW3tqX\_U](https://www.coursera.org/professional-certificates/google-ux-design) 7\. Google Digital Marketing & E-commerce: โ†’ [https://lnkd.in/gyddpuMz](https://www.coursera.org/professional-certificates/google-digital-marketing-ecommerce) 8\. Google IT Support: โ†’ [https://lnkd.in/gy8r6hKc](https://www.coursera.org/professional-certificates/google-it-support) 9\. Web Applications for Everybody Specialization: โ†’ [https://lnkd.in/g2e6p5pB](https://www.coursera.org/specializations/web-applications) 10\. Get Started with Python: โ†’ [https://lnkd.in/gsahW6Fv](https://www.coursera.org/learn/python) 11\. Learn Python Basics for Data Analysis: โ†’ [https://lnkd.in/gnhDF\_5s](https://www.coursera.org/learn/python-crash-course) 12\. Google Advanced Data Analytics Capstone โ†’ [https://lnkd.in/gvxNiCPE](https://www.coursera.org/learn/google-advanced-data-analytics-capstone) 13\. Data Analysis with R Programming: โ†’ [https://lnkd.in/gRCiGeew](https://www.coursera.org/learn/data-analysis-r) 14\. IBM Full Stack Software Developer Professional Certificate: โ†’ [https://lnkd.in/gGQ9rr7p](https://www.coursera.org/professional-certificates/ibm-full-stack-cloud-developer) 15\. Introduction to Web Development with HTML, CSS, JavaScriptโ€‹: โ†’ [https://lnkd.in/gxKdtsaD](https://www.coursera.org/learn/introduction-to-web-development-with-html-css-javacript) 16\. IBM Front-End Developer Professional Certificate: โ†’ [https://lnkd.in/gvdWMGqv](https://www.coursera.org/professional-certificates/ibm-frontend-developer) 17\. IBM Back-End Development Professional Certificate: โ†’ [https://lnkd.in/g3NvKXKF](https://www.coursera.org/professional-certificates/ibm-backend-development) 18\. IBM Python for Data Science, AI & Development: โ†’ [https://lnkd.in/gY63pjSv](https://www.coursera.org/learn/python-for-applied-data-science-ai) # 9 ChatGPT prompts \#1: Enthusiastic Opening Statement Prompt: "Craft an enthusiastic opening statement for my cover letter that grabs attention and shows my excitement for the job I'm applying to. Here's the job description: \[Paste Job Description\]. Here's my resume \[Paste Resume\]." \#2: Detailed Career Overview Prompt: "Provide a detailed overview of my career, highlighting key roles and accomplishments relevant to the job I'm applying for. Here's the job description: \[Paste Job Description\]. Here's my resume: \[Paste Resume\]." \#3: Tailored Skills Presentation Prompt: "Tailor my skills presentation to align closely with the job requirements, ensuring a strong match. Here's the job description: \[Paste Job Description\]. Here's my resume: \[Paste Resume\]." \#4: Unique Selling Proposition Prompt: "Identify and describe my unique selling proposition that sets me apart from other candidates for the job I'm applying for. Here's the job description: \[Paste Job Description\]. Here's my resume: \[Paste Resume\]." \#5: Addressing Employment History Prompt: "Address any notable aspects of my employment history, such as short tenures or freelance work, and how they have prepared me for the job I'm applying for. Here's my resume: \[Paste Resume\]. Here's the job description: \[Paste Job Description\]." \#6: Lifelong Learning Examples Prompt: "Provide examples of my commitment to lifelong learning and how this makes me an ideal candidate for the job I'm applying for. Here's my resume: \[Paste Resume\]. Here's the job description: \[Paste Job Description\]." \#7: Demonstrating Industry Knowledge Prompt: "Demonstrate my in-depth knowledge of the \[industry or field\] and explain how this knowledge will benefit me in the job I'm applying for. Here's my resume: \[Paste Resume\]. Here's the job description: \[Paste Job Description\]." \#8: Problem-Solving Skills Prompt: "Give examples of my problem-solving skills and how they have led to successful outcomes in my previous roles. Here's my resume: \[Paste Resume\]. Here's the job description: \[Paste Job Description\]." \#9: Leveraging Professional Connections Prompt: "Explain how my professional connections and collaborations have contributed to my career success and how they will benefit me in the job I'm applying for. Here's my resume: \[Paste Resume\]. Here's the job description: \[Paste Job Description\]." # AI Free Certification โœณ๏ธ Coursera: โ†’ Partners with universities to offer AI courses. โ†’ Certifications available from prestigious institutions. โ†’ Variety of courses from beginner to advanced levels. URL: [https://lnkd.in/gmAy5-jA](https://lnkd.in/gmAy5-jA) โœณ๏ธ edX: โ†’ Offers courses from universities like MIT and Harvard. โ†’ Covers basics to advanced AI topics. โ†’ Verified certificates for completed courses. URL: [https://lnkd.in/gSUG2K4U](https://lnkd.in/gSUG2K4U) โœณ๏ธ Kaggle: โ†’ Great for hands-on learning. โ†’ Competitions provide practical experience. โ†’ Free courses in data science and machine learning. URL: [https://lnkd.in/gFaB\_tGS](https://lnkd.in/gFaB_tGS) โœณ๏ธ Google AI: โ†’ Free courses directly from Google. โ†’ Focus on machine learning and AI principles. โ†’ Provides a certification on completion. URL: [https://lnkd.in/gmip8-Mk](https://lnkd.in/gmip8-Mk) โœณ๏ธ MIT OpenCourseWare: โ†’ Free AI courses from MIT. โ†’ Comprehensive content, but no certification. โ†’ Ideal for in-depth learning. URL: [https://lnkd.in/g4U3JFPn](https://lnkd.in/g4U3JFPn) โœณ๏ธ [Fast.ai](http://Fast.ai): โ†’ Practical deep learning for coders. โ†’ Interactive and application-focused. โ†’ Free to access with an optional paid certificate. URL: [https://www.fast.ai/](https://www.fast.ai/) โœณ๏ธ Udemy: โ†’ Wide range of AI courses. โ†’ Some free courses available with certification. โ†’ Good mix of theory and practical projects. URL: [https://lnkd.in/gPzJdcHT](https://lnkd.in/gPzJdcHT) โœณ๏ธ Stanford Online: โ†’ Free courses from Stanford University. โ†’ In-depth AI and machine learning content. โ†’ Certification available for some courses. URL: [https://lnkd.in/gdhau3aM](https://lnkd.in/gdhau3aM) โœณ๏ธ FutureLearn: โ†’ Collaborates with universities for courses. โ†’ Free access, with a fee for certification. โ†’ Wide range of topics, including AI. URL: [https://lnkd.in/gcJCnvdV](https://lnkd.in/gcJCnvdV) โœณ๏ธ IBM Cognitive Class: โ†’ Free courses in AI and data science. โ†’ Hands-on learning with IBM tools. โ†’ Digital badges and certificates upon completion. URL: [https://lnkd.in/gtdxYjct](https://lnkd.in/gtdxYjct) # Generative AI 1\. Prompt Engineering Realities \- Zero-shot isn't just "ask and get" - it's about crafting precise instructions \- Few-shot patterns need carefully curated edge cases \- Chain-of-thought prompting can hurt performance in simple tasks Pro tip: A well-maintained prompt library is worth its weight in gold 2\. RAG Architecture Insights \- Vector DB performance depends heavily on data preparation \- Chunk size optimization > embedding model selection \- Effective metadata filtering reduces hallucinations Game-changer: Hybrid search often outperforms pure semantic search 3\. Parameter Optimization Truths \- temperature is context-dependent; one size doesn't fit all \- presence\_penalty shapes conversation flow more than you think \- max\_tokens management is crucial for cost control Reality check: Production systems rarely need high temperature values 4\. Embedding Strategy \- Model choice should match your data characteristics \- Caching strategies are crucial for performance \- Batching embeddings can significantly reduce costs Critical insight: Simple similarity metrics often outperform complex ones 5\. Architecture Decisions \- Start simple: direct API calls \- Scale up: add middleware when needed \- Complex frameworks aren't always the answer Hard truth: The best architecture is often the simplest one 6\. Context Management \- Quality of context > Quantity of tokens \- Strategic information filtering beats compression \- Context window management affects both performance and costs Pro move: Design your context strategy before scaling Key Principle: Effective GenAI isn't about complexity - it's about strategic simplicity. # Generative AI Architect Start small and build step by step. ๐Ÿญ. ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐˜๐—ต๐—ฒ ๐—•๐—ฎ๐˜€๐—ถ๐—ฐ๐˜€: \- ๐—ฃ๐—ฟ๐—ผ๐—ด๐—ฟ๐—ฎ๐—บ๐—บ๐—ถ๐—ป๐—ด: Get comfortable with Python. Learn its syntax, libraries (like NumPy, Pandas), and basic coding practices. \- ๐— ๐—ฎ๐˜๐—ต ๐—˜๐˜€๐˜€๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น๐˜€: Brush up on linear algebra, calculus, and basic probability. These form the backbone of AI. ๐Ÿฎ. ๐—š๐—ฒ๐˜ ๐—œ๐—ป๐˜๐—ผ ๐— ๐—ฎ๐—ฐ๐—ต๐—ถ๐—ป๐—ฒ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: \- Understand key ML concepts (supervised vs. unsupervised learning, evaluation metrics). \- Try out simple projects with scikit-learn to see these ideas in action. ๐Ÿฏ. ๐——๐—ถ๐˜ƒ๐—ฒ ๐——๐—ฒ๐—ฒ๐—ฝ๐—ฒ๐—ฟ ๐˜„๐—ถ๐˜๐—ต ๐——๐—ฒ๐—ฒ๐—ฝ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: \- ๐—ก๐—ฒ๐˜‚๐—ฟ๐—ฎ๐—น ๐—ก๐—ฒ๐˜๐˜„๐—ผ๐—ฟ๐—ธ๐˜€: Learn how they work (from neurons to backpropagation). \- ๐—™๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ๐˜€: Experiment with TensorFlow or PyTorch by building a few small projects (think image classifiers or basic NLP tasks). ๐Ÿฐ. ๐—˜๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น๐˜€: \- ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ฆ๐—ถ๐—บ๐—ฝ๐—น๐—ฒ: Tinker with autoencoders and variational autoencoders (VAEs). \- ๐—ฆ๐˜๐—ฒ๐—ฝ ๐—จ๐—ฝ: Once youโ€™re comfortable, build a simple GAN to generate images. \- ๐—ž๐—ฒ๐—ฒ๐—ฝ ๐—จ๐—ฝ: Follow emerging techniques like diffusion models and transformersโ€”these are pushing the field forward. ๐Ÿฑ. ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฃ๐—ผ๐—ฟ๐˜๐—ณ๐—ผ๐—น๐—ถ๐—ผ: \- Work on personal projectsโ€”even small experiments count. \- Share your work on GitHub or your blog. Real-world examples speak volumes. ๐Ÿฒ. ๐—–๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜ ๐—ฎ๐—ป๐—ฑ ๐—š๐—ฟ๐—ผ๐˜„: \- Join online communities, attend meetups, or webinars. \- Networking isnโ€™t just for job huntingโ€”itโ€™s a great way to learn and stay motivated. ๐Ÿณ. ๐—ž๐—ฒ๐—ฒ๐—ฝ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป๐—ถ๐—ป๐—ด: \- The field is evolving fast. Follow thought leaders, read research papers, and always be curious. ๐—•๐—ผ๐˜๐˜๐—ผ๐—บ ๐—น๐—ถ๐—ป๐—ฒ: Start with one small project, build your skills gradually, and donโ€™t be afraid to share your journey. Every expert began somewhere. Happy coding! # Microsoft - Generative AI [![generative_ai.jpeg](https://resources.planforfailure.com/uploads/images/gallery/2025-02/scaled-1680-/pXMVlf86df3oy6W9-generative-ai.jpeg)](https://resources.planforfailure.com/uploads/images/gallery/2025-02/pXMVlf86df3oy6W9-generative-ai.jpeg) [https://github.com/microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) # 2024 AI Courses [![free_ai_24.png](https://resources.planforfailure.com/uploads/images/gallery/2025-02/scaled-1680-/NI89skTlaBOgg6T8-free-ai-24.png)](https://resources.planforfailure.com/uploads/images/gallery/2025-02/NI89skTlaBOgg6T8-free-ai-24.png) 1. ChatGPT & Google Gemini for Increased Productivity 2. Microsoft's "Transform Your Business With AI" 3. LinkedIn's "Career Essentials In Generative AI" 4. AI Planet's Large Language Model (LLM) 5. IBM's "AI Foundations for Everyone" 6. Google's Generative AI Learning Path 7. Introduction to Artificial Intelligence 8. AI-Powered SEO Mastery 9. AI Art Generation 10. AI for Everyone # ๐—Ÿ๐—ถ๐—ป๐—ธ๐—ฒ๐—ฑ๐—ถ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—”๐—œ ๐—Ÿ๐—ถ๐—ป๐—ธ๐—ฒ๐—ฑ๐—ถ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—”๐—œ ๐Ÿญ. ๐—ช๐—ต๐—ฎ๐˜ ๐—ถ๐˜€ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ [https://lnkd.in/dWWct5Z9](https://lnkd.in/dWWct5Z9) ๐Ÿฎ. ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด [https://lnkd.in/dyNyA3yP](https://lnkd.in/dyNyA3yP) ๐Ÿฏ. ๐—”๐—œ ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ [https://lnkd.in/dDVsyJJP](https://lnkd.in/dDVsyJJP) ๐Ÿฐ. ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—”๐—œ [https://lnkd.in/gn-GMQjR](https://lnkd.in/gn-GMQjR) ๐Ÿฑ. ๐—š๐—ฒ๐˜ ๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—™๐—ผ๐—ฟ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ [https://lnkd.in/dkVk-VSF](https://lnkd.in/dkVk-VSF) ๐Ÿฒ. ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ ๐—™๐—ผ๐—ฟ ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ [https://lnkd.in/eVt7vbQA](https://lnkd.in/eVt7vbQA) ๐Ÿณ. ๐—ฅ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ฎ๐—ป๐—ฑ ๐—ช๐—ฟ๐—ถ๐˜๐—ฒ ๐˜‚๐˜€๐—ถ๐—ป๐—ด ๐—”๐—œ ๐—ง๐—ผ๐—ผ๐—น๐˜€ [https://lnkd.in/djG76kxi](https://lnkd.in/djG76kxi) ๐Ÿด. ๐— ๐—Ÿ ๐—ช๐—ถ๐˜๐—ต ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€ [https://lnkd.in/dNyZq6np](https://lnkd.in/dNyZq6np) ๐Ÿต. ๐—ฆ๐˜๐—ฟ๐—ฒ๐—ฎ๐—บ๐—น๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ช๐—ผ๐—ฟ๐—ธ [https://lnkd.in/ds6Xk6jJ](https://lnkd.in/ds6Xk6jJ) ๐Ÿญ๐Ÿฌ. ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ [https://lnkd.in/dSQP69-Z](https://lnkd.in/dSQP69-Z) # AI Guides 1. How to AI - [how-to-ai.guide](http://how-to-ai.guide) Perfect for non-technical people to master AI. 2\. OpenAI Academy - [academy.openai.com](http://academy.openai.com) The official academy of ChatGPT & OpenAI. 3\. Coursera - [https://lnkd.in/e8gQBJ9n](https://lnkd.in/e8gQBJ9n) Learn Machine Learning with Andrew Ng. 4\. Veo course - [https://lnkd.in/dV69TkwH](https://lnkd.in/dV69TkwH) The official guide to master Veo, the video model from Google (which is the best on the market). 5\. Midjourney course - [https://lnkd.in/divdXvMp](https://lnkd.in/divdXvMp) The quick & easy (and free) guide for Midjourney v7. 6\. Perplexity Labs - [https://lnkd.in/dYWTYyrT](https://lnkd.in/dYWTYyrT) The most interesting Perplexity feature, explained. 7\. To replace consultants - [https://lnkd.in/dy8wC9Xg](https://lnkd.in/dy8wC9Xg) This one is me. But useful to master search & slides. 8\. OpusClip to edit video - [https://lnkd.in/dPyJskNM](https://lnkd.in/dPyJskNM) The best AI to edit videos (to this day). 9\. Write a thesis with AI - [https://lnkd.in/dY8H7UDK](https://lnkd.in/dY8H7UDK) I made this guide for my ex. I'm not kidding. 10\. Claude from A to Z - [https://lnkd.in/dJGkd68m](https://lnkd.in/dJGkd68m) The official guide for Claude, from Claude's team. 11\. ChatGPT images - [https://lnkd.in/dh45EePJ](https://lnkd.in/dh45EePJ) Still me. But I cover 80% within 12 slides. Not bad. 12\. Gemini prompting - [https://lnkd.in/gbmYrKJB](https://lnkd.in/gbmYrKJB) The best prompt guide, straight from Google. 13\. Guide to AI agent - [https://lnkd.in/d\_e2FP2u](https://lnkd.in/d_e2FP2u) OpenAI made this (somehow) unknown guide. 14\. Deepdive into LLMs - [https://lnkd.in/d2eAsrsa](https://lnkd.in/d2eAsrsa) If you have 3 hours โ†’ an absolute goldmine. # YouTube Channels on AI 1\. Alek Alek is an inspiring YouTuber who explores various AI side hustles and provides concrete evidence of how people are using them to make money online. ๐Ÿ”— [https://lnkd.in/eq5duK-p](https://lnkd.in/eq5duK-p) 2\. DeepLearning .AI DeepLearning .AI offers comprehensive educational content on artificial intelligence and deep learning, led by industry expert Andrew Ng. ๐Ÿ”— [https://lnkd.in/ewuA6Ea5](https://lnkd.in/ewuA6Ea5) 3\. AI Explained "AI Explained offers insightful explanations of complex AI concepts in a digestible format for all audiences." ๐Ÿ”— [https://lnkd.in/eHu94yVb](https://lnkd.in/eHu94yVb) 4\. Sentdex Sentdex, run by Harrison Chase, takes a practical approach to AI by exploring coding and real-world projects. If you're a programmer or developer eager to see AI in action, this channel is tailored for you. ๐Ÿ”— [https://lnkd.in/e4BCbdcz](https://lnkd.in/e4BCbdcz) 5\. Lex Fridman Lex Fridman's YouTube channel stands out for its in-depth conversations with leading AI experts. Lex, an AI researcher at MIT, hosts discussions that go beyond technicalities, delving into the personal experiences ๐Ÿ”—[https://lnkd.in/eFAiHndt](https://lnkd.in/eFAiHndt) 6\. All About AI "All About AI: Your go-to destination for insightful explorations into the world of artificial intelligence." ๐Ÿ”— [https://lnkd.in/ewwaSXyx](https://lnkd.in/ewwaSXyx) 7\. Murtazaโ€™s Workshop โ€“ Robotics and AI Murtaza's Workshop explores the realms of robotics and AI, bridging theory and practice for enthusiasts and learners alike. ๐Ÿ”— [https://lnkd.in/edRkwDab](https://lnkd.in/edRkwDab) 8\. Two Minute Papers Offers concise and insightful summaries of the latest AI research, making it easy to stay updated with new developments. ๐Ÿ”—[https://lnkd.in/g6ckcWeP](https://lnkd.in/g6ckcWeP) 9\. Computerphile Explores a variety of computer science topics, including AI, with expert explanations and engaging content, ideal for deepening your understanding. ๐Ÿ”—[https://lnkd.in/gt5ezUYY](https://lnkd.in/gt5ezUYY) ๐Ÿ”—10. Adrian Rosebrock Focuses on practical applications of AI and deep learning, particularly in computer vision, providing valuable resources for programmers. [https://lnkd.in/g-ufbbTt](https://lnkd.in/g-ufbbTt) # AI Repos - 2025 ๐Ÿญ. ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—”๐—œ ๐—™๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ โ†ณ Start your AI journey with this structured curriculum. โ†ณ Learn core concepts like neural networks and computer vision. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/e\_3mXMfp](https://lnkd.in/e_3mXMfp) ๐Ÿฎ. ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜ ๐—š๐—ฒ๐—ป๐—ฒ๐—ฟ๐—ฎ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—”๐—œ ๐—ณ๐—ผ๐—ฟ ๐—•๐—ฒ๐—ด๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ โ†ณ Dive into Generative AI with this project-based course. โ†ณ Master prompt engineering and build your first LLM applications. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/e-S6r4fE](https://lnkd.in/e-S6r4fE) ๐Ÿฏ. ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—š๐˜‚๐—ถ๐—ฑ๐—ฒ โ†ณ Learn to communicate effectively with AI models. โ†ณ This guide covers everything from basic techniques to advanced strategies. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/eEuWfNiS](https://lnkd.in/eEuWfNiS) ๐Ÿฐ. ๐—Ÿ๐—Ÿ๐—  ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ โ†ณ Follow a clear path from ML basics to advanced fine-tuning. โ†ณ Understand quantization and LoRA with practical examples. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/ecU3xEe5](https://lnkd.in/ecU3xEe5) ๐Ÿฑ. ๐—”๐˜„๐—ฒ๐˜€๐—ผ๐—บ๐—ฒ ๐—Ÿ๐—Ÿ๐—  ๐—”๐—ฝ๐—ฝ๐˜€ โ†ณ Discover a curated list of real-world LLM applications. โ†ณ Find inspiration and code for your own projects here. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/eZSvVAsJ](https://lnkd.in/eZSvVAsJ) ๐Ÿฒ. ๐—Ÿ๐—Ÿ๐— ๐˜€-๐—ณ๐—ฟ๐—ผ๐—บ-๐˜€๐—ฐ๐—ฟ๐—ฎ๐˜๐—ฐ๐—ต โ†ณ Build a large language model from the ground up. โ†ณ Deeply understand tokenization, model architecture, and training. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/eEePivQh](https://lnkd.in/eEePivQh) ๐Ÿณ. ๐—›๐—ฎ๐—ป๐—ฑ๐˜€-๐—ข๐—ป ๐—Ÿ๐—ฎ๐—ฟ๐—ด๐—ฒ ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น๐˜€ โ†ณ Get practical with Hugging Face's transformers library. โ†ณ Learn to fine-tune and deploy open-source models effectively. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/eBgXeDC6](https://lnkd.in/eBgXeDC6) ๐Ÿด. ๐— ๐—ฎ๐—ฑ๐—ฒ-๐—ช๐—ถ๐˜๐—ต-๐— ๐—Ÿ โ†ณ Learn to build and deploy production-ready ML systems. โ†ณ This guide emphasizes MLOps and best practices from the start. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/ePnFxDDt](https://lnkd.in/ePnFxDDt) ๐Ÿต. ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ โ†ณ Explore the frontier of autonomous AI agents. โ†ณ Learn about agent architectures, tools, and memory systems. ๐Ÿ”—๐—Ÿ๐—ถ๐—ป๐—ธ: [https://lnkd.in/eCQgqihz](https://lnkd.in/eCQgqihz) # 3 Month AI/ML Roadmap ๐Ÿ“Œ Month 1 โ€”>Build the Base Python, Math for ML, NumPy, Pandas, Matplotlib ๐Ÿ“Œ Month 2 โ€”> Master Machine Learning Regression | Classification | Clustering | Model Evaluation ๐Ÿ“Œ Month 3 โ€”> Deep Learning & AI Systems CNNs | RNNs | NLP | Transfer Learning | GANs [AI/ML Roadmap ](https://planforfailure.com/docs/ai_ml_roadmap.pdf "AI/ML Roadmapย ")