AI

Terminology, Generative AI, LLM, Nvidia, ChatGPT

Introduction
Generative AI Terms
AI Terminology
Nvidia - AI, ML, Data Science
LLM Overview
ChatGPT

ChatGPT
𝗖𝗵𝗮𝘁𝗚𝗣𝗧 & 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
ChatGPT Productivity
Alternate ChatGPT
ChatGPT Prompts
9 ChatGPT prompts

AI Free Certification
Generative AI
Generative AI Architect
Microsoft - Generative AI
2024 AI Courses
𝗟𝗶𝗻𝗸𝗲𝗱𝗶𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗔𝗜
AI Guides
YouTube Channels on AI
AI Repos - 2025
3 Month AI/ML Roadmap

Introduction

1. Introduction to Generative AI

Click here👇
🔗https://lnkd.in/dDsPdaSQ

2. Introduction to Large Language Models

Click here👇
https://lnkd.in/dz8gSigz

3. Introduction to Responsible AI

Click here👇
https://lnkd.in/dmnvy9E6

4. Generative AI Fundamentals

Click here👇
https://lnkd.in/dqjqjqMn

5. Introduction to Image Generation

Click here👇
https://lnkd.in/dQwd6Epr

6. Encoder-Decoder Architecture

Click here👇
https://lnkd.in/d3uTGM9H

7. Attention Mechanism

Click here👇
https://lnkd.in/dbUGGNh5

8. Transformer Models and BERT Model

Click here👇
https://lnkd.in/d7btz3Gr

9. Create Image Captioning Models

Click here👇
https://lnkd.in/dex4nXh7

10. Introduction to Generative AI Studio

Click here👇
https://lnkd.in/dEhtjXP6

11. AI Essentials:

https://lnkd.in/dyEt4DGt

12. ChatGPT Mastery

https://lnkd.in/eiRtk-6q

13. Google AI Magic

https://lnkd.in/eBQXfBe9

14. Harvard AI Intro

https://lnkd.in/eu4mZaAG

15. Microsoft AI Basics

https://lnkd.in/eYNWzXUX

16. Prompt Engineering Pro

https://lnkd.in/eNi_YNSe

17. Google's Ethical AI:

https://lnkd.in/eTrwSU89

18. ML by Harvard

https://lnkd.in/eX28syMJ

19. LangChain LLMs:

https://lnkd.in/evZVJbNy

20. Bing Chat Boost:

https://lnkd.in/ejN-qrVy

21. Visionary LLM Apps:

https://bit.ly/46ACTS8

22. Generative AI by MS:

https://lnkd.in/dqjnzcCD

23. Amazon's AI Strategy:

https://lnkd.in/dFhmsvZC

24. AI for All:

https://lnkd.in/eFx7zCz7

25. AWS AI Foundations:

https://lnkd.in/dEjN9PRm

Generative AI Terms

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

3. AI For Everyone
- Get a solid start and broad overview of the field.
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

5. The difference between:
- AI
- Machine Learning
- Deep Learning
- Neural Networks
https://lnkd.in/e282DDuS

6. 28 AI Terms You Need to Know:
https://lnkd.in/eWB7J8bF

7. Machine Learning Glossary | Google Developers:
https://lnkd.in/ezCfXcUR

8. How to save your career from ChatGPT:
https://lnkd.in/e4rynfA4

9. What Is ChatGPT Doing, and Why Does It Work:
https://lnkd.in/eR4Nmxv4

10. AUTO-GPT - Autonomous GPT-4:
https://lnkd.in/eusUiYn5

11. AUTO-GPT:
-An experimental open-source attempt to make GPT-4 fully autonomous.
https://lnkd.in/eY9YtTsf

12. Learn Prompting:
https://lnkd.in/e8dwC8w9

13. Prompt Engineering Guide:
https://lnkd.in/eMwTD76g

14. Python Full Course for Beginners:
https://lnkd.in/ecBm7Gty

15. CS50 Introduction to Artificial Intelligence:
https://lnkd.in/efPQvrk2

16. Mathematics for Machine Learning & Data Science:
https://lnkd.in/eYASHPKY

17. Stanford CS229 - Machine Learning:
https://lnkd.in/e2_eXc3n

18. GitHub - dair-ai/ML-YouTube-Courses:
https://lnkd.in/evkWGt-u

19. Practical Deep Learning for Coders:
Part 1: https://course.fast.ai/
Part 2: https://lnkd.in/e_vunHwD

20. How will AI change the world?
https://lnkd.in/eb_-wEPb

21. AutoGPT's massive potential and risk:
https://lnkd.in/eGwP-FqU

22. More Important Resources:
-I did a similar list a few weeks ago
https://lnkd.in/eyHW-e5U

AI Terminology

𝗔𝗜: The overarching world of Artificial Intelligence, transforming industries.
- 𝗠𝗟: Machine Learning's role in shaping intelligent systems.
- 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Neural networks for human-like thinking.
- 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸: Mimicking human brain functions for learning.
- 𝗦𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Teaching computers with labelled examples.
- 𝗨𝗻𝘀𝘂𝗽𝗲𝗿𝘃𝗶𝘀𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Machines finding patterns without labels.
- 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Trial-and-error learning for machines.
- 𝗡𝗟𝗣: Tech enabling computers to understand human language.
- 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Machines interpreting visual information.
- 𝗖𝗵𝗮𝘁𝗯𝗼𝘁: Conversational AI for customer support and more.
- 𝗜𝗢𝗧: Devices connected, sharing data for smart applications.
- 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴: Remote storage, management, and data processing.
- 𝗕𝗶𝗮𝘀 𝗶𝗻 𝗔𝗜: Addressing unintentional biases in algorithms.
- 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺: Core of AI, the building block for intelligent systems.
- 𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴: Extracting patterns and insights from vast datasets.
- 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮:Navigating challenges with massive and diverse data.
- 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀: Merging AI with physical machines for automation.
- 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝗶𝗰 𝗙𝗮𝗶𝗿𝗻𝗲𝘀𝘀: Ensuring fairness and avoiding bias in AI.
- 𝗧𝗿𝗮𝗻𝘀𝗳𝗲𝗿 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Applying knowledge for enhanced AI efficiency.
- 𝗘𝗱𝗴𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴: Localised AI implementation for efficiency.
- 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗔𝗜: Making AI decisions transparent and understandable.
- 𝗚𝗔𝗡𝘀: AI creating realistic data through adversarial networks.
- 𝗘𝗱𝗴𝗲 𝗔𝗜: Localised AI for reduced reliance on centralised servers.
- 𝗔𝗜 𝗘𝘁𝗵𝗶𝗰𝘀: Guiding principles for responsible AI development.

Nvidia - AI, ML, Data Science

1. Generative AI Explained - https://lnkd.in/e5Rhxhgp

2. Augmenting LLMs using Retrieval Augmented Generation - https://lnkd.in/enGnZ3CK

3. Building Video AI Applications at the Edge on Jetson Nano - https://lnkd.in/ef-RpZ_G

4. Getting Started with AI on Jetson Nano - https://lnkd.in/eQCMQnSD

5. Digital Fingerprinting with Morpheus - https://lnkd.in/eV2RUhpY

6. An Even Easier Introduction to CUDE - https://lnkd.in/exazrhkG

7. Building RAG Agents with LLMs - https://lnkd.in/ev5auDW5

8. Building A Brain in 10 Minutes - https://lnkd.in/eiMaNGHi

9. Accelerate Data Science Workflows with Zero Code Changes - https://lnkd.in/ewYDMUCE

LLM Overview

𝗕𝗲𝘆𝗼𝗻𝗱 𝗕𝗮𝘀𝗶𝗰 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴:

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.

𝗘𝗻𝘁𝗲𝗿 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚):
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.

𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗧𝘂𝗻𝗶𝗻𝗴 𝗦𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀 (𝗜𝗧𝗦):
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.

𝗕𝗲𝘆𝗼𝗻𝗱 𝗥𝗔𝗚, 𝗜𝗧𝗦, 𝗮𝗻𝗱 𝗛𝘆𝗯𝗿𝗶𝗱𝘀:
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.

𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗠𝗲𝘁𝗵𝗼𝗱:
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

https://www.linkedin.com/feed/update/urn:li:activity:7128290580681371648/

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

TOP50 ChatGPT Prompts For Marketing https://lnkd.in/eMRwJzn2

TOP50 PROMPTS for FOUNDERS https://lnkd.in/e9FgNfAK

ChatGPT Cheat Sheet https://lnkd.in/erHKGt53

ChatGPT explained to kids https://lnkd.in/e8uC_7Mh

Top 50 ChatGPT prompts for sales https://lnkd.in/eW-Rq6CA

ChatGPT Cheat Sheet for Kids https://lnkd.in/eXb8_Vi6

ChatGPT explained to Kids https://lnkd.in/eQymPEbB

TOP50 PROMPTS for FOUNDERS https://lnkd.in/e9FgNfAK

The ChatGPT Cheat Sheet https://lnkd.in/eBW2rHyU

The ChatGPT Cheat Sheet https://lnkd.in/eB8gk_vT

The ChatGPT checklist https://lnkd.in/e2NQe__x

ChatGPT for Business https://lnkd.in/eyRRFieM

ChatGPT for Content Creators https://lnkd.in/eiABmqE7

ChatGPT explained easy https://lnkd.in/eaA5N8Ur

10 Best ChatGPT Prompts to increase your efficiency: https://lnkd.in/eSxGArZK

TOP50 PROMPTS for NETWORKING https://lnkd.in/eNZkJVRc

ChatGPT Cheat Sheet: Explained to Kids https://lnkd.in/eYny7Yi8

ChatGPT cheatsheet https://lnkd.in/ebAbuurB

ChatGPT

𝗖𝗵𝗮𝘁𝗚𝗣𝗧 & 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀

𝟭. 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - https://lnkd.in/d4_bnrXP
𝟮. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗯𝘆 𝗚𝗼𝗼𝗴𝗹𝗲 - https://lnkd.in/epnnR3Kc
𝟯. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗯𝘆 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 - https://lnkd.in/eMi232F8
𝟰. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 - https://lnkd.in/dX9tFvx6
𝟱. 𝗕𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - https://lnkd.in/edHHsTip
𝟲. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - https://lnkd.in/d5Adriv8
𝟳. 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗘𝘅𝗰𝗲𝗹 - https://lnkd.in/dskuNhaj
𝟴. 𝗔𝗜 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗳𝗼𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗠𝗮𝗸𝗲𝗿𝘀 - https://lnkd.in/dhNUtwCQ
𝟵. 𝗔𝗜-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗚𝗶𝘁𝗵𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 - https://lnkd.in/d9Eq-WXM
𝟭𝟬. 𝗕𝘂𝗶𝗹𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗔𝗣𝗜 - https://lnkd.in/dQZMnbx3
𝟭𝟭. 𝟭𝟬 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘄𝗶𝘁𝗵 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 - https://lnkd.in/dRApZdiF
𝟭𝟮. 𝟭𝟵 𝗭𝗮𝗽𝗶𝗲𝗿 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻𝘀 - https://lnkd.in/dknhNKgB
𝟭𝟯. 𝗣𝗲𝗿𝗳𝗲𝗰𝘁 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗣𝗿𝗼𝗺𝗽𝘁 𝗙𝗼𝗿𝗺𝘂𝗹𝗮 - https://lnkd.in/dGvShniV
𝟭𝟰. 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘄𝗶𝘁𝗵 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 - https://lnkd.in/dvGEKBGf
𝟭𝟱. 𝗠𝗮𝗸𝗲 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗪𝗿𝗶𝘁𝗲 𝗟𝗶𝗸𝗲 𝗮 𝗛𝘂𝗺𝗮𝗻 - https://lnkd.in/dWTND7YJ
𝟭𝟲. 𝗖𝗿𝗲𝗮𝘁𝗲 𝗣𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝘄/𝗖𝗵𝗮𝘁𝗚𝗣𝗧 - https://lnkd.in/dAVyEKzq
𝟭𝟳. 𝗗𝗶𝗮𝗴𝗿𝗮𝗺𝘀 𝗮𝗻𝗱 𝗙𝗹𝗼𝘄 𝗖𝗵𝗮𝗿𝘁𝘀 𝘄/𝗖𝗵𝗮𝘁𝗚𝗣𝗧 - https://lnkd.in/dZria8WB
𝟭𝟴. 𝗥𝗲𝘀𝘂𝗺𝗲 𝗪𝗿𝗶𝘁𝗶𝗻𝗴 𝘄/𝗖𝗵𝗮𝘁𝗚𝗣𝗧 - https://lnkd.in/dv3B8YdZ
𝟭𝟵. 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗣𝗿𝗼𝗺𝗽𝘁𝘀 𝗙𝗼𝗿 𝟱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 - https://lnkd.in/dtAT99qS
𝟮𝟬. 𝗟𝗲𝗮𝗿𝗻 𝗔𝗻𝘆 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 - https://lnkd.in/d8TAtzPH
𝟮𝟭. 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 - https://lnkd.in/diXBdEWM
𝟮𝟮. 𝗟𝗲𝗮𝗿𝗻 𝗔𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝗙𝗮𝘀𝘁 𝘂𝘀𝗶𝗻𝗴 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 - https://lnkd.in/dKwHnYry
𝟮𝟯. 𝟭𝟬𝟬𝟬+ 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗽𝗿𝗼𝗺𝗽𝘁 𝘁𝗲𝗺𝗽𝗹𝗮𝘁𝗲𝘀 - https://lnkd.in/e3a-6C6x

ChatGPT

ChatGPT Productivity

A breakdown of the BEST GTPs ChatGPT has to offer

𝗪𝗿𝗶𝘁𝗶𝗻𝗴:

Copywriter
https://lnkd.in/eKgNVuST

Write For Me
https://lnkd.in/ezCWzvQr

CV Writer
https://lnkd.in/emSGfXJg

Book Creator Guide
https://lnkd.in/e29CkhR3

Blog Expert
https://lnkd.in/esma7-xx

Humanizer Pro
https://lnkd.in/eX9hep7x

𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆

Canva
https://lnkd.in/eD99C8Dx

Video GPT
https://lnkd.in/eKQp5Cbv

Presentation Slide
https://lnkd.in/eHYuwPnQ

PDF AI
https://lnkd.in/eVM49Snd

WebPilot
https://lnkd.in/eYWPYzKD

Whimsical Diagram
https://lnkd.in/envxrDRw

Adobe Express
https://lnkd.in/erWmUy-9

𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴

Codepilot
https://lnkd.in/eFJ9mbej

Python
https://lnkd.in/eC6fnD_C

Designer GPT
https://lnkd.in/eueUet9P

WebGPT
https://lnkd.in/eiKHYi-B

AutoExpert (Dev)
https://lnkd.in/eNZ4iBN5

AskTheCode
https://lnkd.in/exsn4wkH

Grimoire
https://lnkd.in/eCgeDeVK

𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻

Universal Primer
https://lnkd.in/efm4Esfz

Math
https://lnkd.in/e9km6TMZ

Math Solver
https://lnkd.in/eXhXax_u

Tutor Me
https://lnkd.in/erR69g5G

Physics
https://lnkd.in/es7DBDsV

Voxscript
https://lnkd.in/eqVutPJN

Machine Learning
https://lnkd.in/egtjgZTi

ChatGPT

Alternate ChatGPT

1- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻
Website: https://learnify.ai/

2- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗖𝗼𝗱𝗲𝗿𝘀
Website: https://landingsite.ai/

3- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
Website: https://lingobot.ai/

4- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀
Website: https://www.dante-ai.com/

5- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗛𝗲𝗮𝗹𝘁𝗵
Website: https://medicus.ai/

6- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗠𝘂𝘀𝗶𝗰
Website: https://app.suno.ai/

7- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗜𝗺𝗮𝗴𝗲𝘀
Website: https://ai.nero.com/

8- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗟𝗲𝗴𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲
Website: https://legallingo.ai/

9- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
Website: https://socialsynth.ai/

10- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗗𝗲𝘀𝗶𝗴𝗻
Website: https://sketchy.ai/

11- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗪𝗿𝗶𝘁𝗶𝗻𝗴
Website: https://aiseo.ai/

12- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁
Website: http://archivinci.com

13- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴
Website: https://marketwise.ai/

14- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
Website: https://projexia.ai/

15- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁
Website: https://helpwise.ai/

16- 𝗦𝗲𝗮𝗿𝗰𝗵 𝗲𝗻𝗴𝗶𝗻𝗲 𝘄𝗶𝘁𝗵 𝗖𝗵𝗮𝘁𝗚𝗣𝗧
Website: https://gptgo.ai/

17- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗖𝗿𝗲𝗮𝘁𝗼𝗿𝘀
Website: https://chapple.ai/

18- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗙𝗶𝗻𝗮𝗻𝗰𝗲
Website: https://moneymind.ai/

19- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲𝗿𝘀
Website: https://www.pythagora.ai/

20- 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 𝗳𝗼𝗿 𝗘𝘅𝗰𝗲𝗹
Website: https://numerous.ai

ChatGPT

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."

💡 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐢𝐬 𝐏𝐨𝐰𝐞𝐫, 𝐚𝐧𝐝 𝐈𝐭’𝐬 𝐅𝐑𝐄𝐄! Dive into our free courses and transform your future today. 🌟📘

Job/Internship Opportunities: https://t.me/coding_squad

𝗙𝗥𝗘𝗘 (𝗚𝗼𝗼𝗴𝗹𝗲) 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗿𝗲𝗴𝗿𝗲𝘁 𝗻𝗼𝘁 𝘁𝗮𝗸𝗶𝗻𝗴.

🔃7000+ free courses free access: https://lnkd.in/gpEhE3NX

1. Google data Analytics:
→ https://lnkd.in/gTe-4hX7

2. Google Project Management:
→ https://lnkd.in/ga9hFRYt

3. Foundations of Project Management:
→ https://lnkd.in/gNWJERhk

4. Google Introduction to Generative AI:
→ https://lnkd.in/gp_kx-m5

5. Google Cybersecurity:
→ https://lnkd.in/g8d-g83Z

6. Google UX Design:
→ https://lnkd.in/gW3tqX_U

7. Google Digital Marketing & E-commerce:
→ https://lnkd.in/gyddpuMz

8. Google IT Support:
→ https://lnkd.in/gy8r6hKc

9. Web Applications for Everybody Specialization:
→ https://lnkd.in/g2e6p5pB

10. Get Started with Python:
→ https://lnkd.in/gsahW6Fv

11. Learn Python Basics for Data Analysis:
→ https://lnkd.in/gnhDF_5s

12. Google Advanced Data Analytics Capstone
→ https://lnkd.in/gvxNiCPE

13. Data Analysis with R Programming:
→ https://lnkd.in/gRCiGeew

14. IBM Full Stack Software Developer Professional Certificate:
→ https://lnkd.in/gGQ9rr7p

15. Introduction to Web Development with HTML, CSS, JavaScript:
→ https://lnkd.in/gxKdtsaD

16. IBM Front-End Developer Professional Certificate:
→ https://lnkd.in/gvdWMGqv

17. IBM Back-End Development Professional Certificate:
→ https://lnkd.in/g3NvKXKF

18. IBM Python for Data Science, AI & Development:
→ https://lnkd.in/gY63pjSv

ChatGPT

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

✳️ Coursera:

→ Partners with universities to offer AI courses.
→ Certifications available from prestigious institutions.
→ Variety of courses from beginner to advanced levels.

URL: https://lnkd.in/gmAy5-jA

✳️ edX:

→ Offers courses from universities like MIT and Harvard.
→ Covers basics to advanced AI topics.
→ Verified certificates for completed courses.

URL: https://lnkd.in/gSUG2K4U

✳️ Kaggle:

→ Great for hands-on learning.
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URL: https://lnkd.in/gFaB_tGS

✳️ Google AI:

→ Free courses directly from Google.
→ Focus on machine learning and AI principles.
→ Provides a certification on completion.

URL: https://lnkd.in/gmip8-Mk

✳️ MIT OpenCourseWare:

→ Free AI courses from MIT.
→ Comprehensive content, but no certification.
→ Ideal for in-depth learning.

URL: https://lnkd.in/g4U3JFPn

✳️ Fast.ai:

→ Practical deep learning for coders.
→ Interactive and application-focused.
→ Free to access with an optional paid certificate.

URL: https://www.fast.ai/

✳️ Udemy:

→ Wide range of AI courses.
→ Some free courses available with certification.
→ Good mix of theory and practical projects.

URL: https://lnkd.in/gPzJdcHT

✳️ Stanford Online:

→ Free courses from Stanford University.
→ In-depth AI and machine learning content.
→ Certification available for some courses.

URL: https://lnkd.in/gdhau3aM

✳️ FutureLearn:

→ Collaborates with universities for courses.
→ Free access, with a fee for certification.
→ Wide range of topics, including AI.

URL: https://lnkd.in/gcJCnvdV

✳️ IBM Cognitive Class:

→ Free courses in AI and data science.
→ Hands-on learning with IBM tools.
→ Digital badges and certificates upon completion.

URL: 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.

𝟭. 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀:
- 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Get comfortable with Python. Learn its syntax, libraries (like NumPy, Pandas), and basic coding practices.
- 𝗠𝗮𝘁𝗵 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀: Brush up on linear algebra, calculus, and basic probability. These form the backbone of AI.

𝟮. 𝗚𝗲𝘁 𝗜𝗻𝘁𝗼 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴:
- Understand key ML concepts (supervised vs. unsupervised learning, evaluation metrics).
- Try out simple projects with scikit-learn to see these ideas in action.

𝟯. 𝗗𝗶𝘃𝗲 𝗗𝗲𝗲𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴:
- 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: Learn how they work (from neurons to backpropagation).
- 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Experiment with TensorFlow or PyTorch by building a few small projects (think image classifiers or basic NLP tasks).

𝟰. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝘀:
- 𝗦𝘁𝗮𝗿𝘁 𝗦𝗶𝗺𝗽𝗹𝗲: Tinker with autoencoders and variational autoencoders (VAEs).
- 𝗦𝘁𝗲𝗽 𝗨𝗽: Once you’re comfortable, build a simple GAN to generate images.
- 𝗞𝗲𝗲𝗽 𝗨𝗽: Follow emerging techniques like diffusion models and transformers—these are pushing the field forward.

𝟱. 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼:
- Work on personal projects—even small experiments count.
- Share your work on GitHub or your blog. Real-world examples speak volumes.

𝟲. 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝗮𝗻𝗱 𝗚𝗿𝗼𝘄:
- Join online communities, attend meetups, or webinars.
- Networking isn’t just for job hunting—it’s a great way to learn and stay motivated.

𝟳. 𝗞𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴:
- The field is evolving fast. Follow thought leaders, read research papers, and always be curious.

𝗕𝗼𝘁𝘁𝗼𝗺 𝗹𝗶𝗻𝗲: Start with one small project, build your skills gradually, and don’t be afraid to share your journey. Every expert began somewhere. Happy coding!

Microsoft - Generative AI

https://github.com/microsoft/generative-ai-for-beginners

2024 AI Courses

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

𝗟𝗶𝗻𝗸𝗲𝗱𝗶𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗔𝗜

𝗟𝗶𝗻𝗸𝗲𝗱𝗶𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗟𝗲𝗮𝗿𝗻 𝗔𝗜

𝟭. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://lnkd.in/dWWct5Z9

𝟮. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴
https://lnkd.in/dyNyA3yP

𝟯. 𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀
https://lnkd.in/dDVsyJJP

𝟰. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗔𝗜
https://lnkd.in/gn-GMQjR

𝟱. 𝗚𝗲𝘁 𝗥𝗲𝗮𝗱𝘆 𝗙𝗼𝗿 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://lnkd.in/dkVk-VSF

𝟲. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗙𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀
https://lnkd.in/eVt7vbQA

𝟳. 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗪𝗿𝗶𝘁𝗲 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀
https://lnkd.in/djG76kxi

𝟴. 𝗠𝗟 𝗪𝗶𝘁𝗵 𝗣𝘆𝘁𝗵𝗼𝗻 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀
https://lnkd.in/dNyZq6np

𝟵. 𝗦𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗪𝗼𝗿𝗸
https://lnkd.in/ds6Xk6jJ

𝟭𝟬. 𝗟𝗲𝗮𝗿𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://lnkd.in/dSQP69-Z

AI Guides

1. How to AI - how-to-ai.guide
Perfect for non-technical people to master AI.

2. OpenAI Academy - academy.openai.com
The official academy of ChatGPT & OpenAI.

3. Coursera - https://lnkd.in/e8gQBJ9n
Learn Machine Learning with Andrew Ng.

4. Veo course - 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
The quick & easy (and free) guide for Midjourney v7.

6. Perplexity Labs - https://lnkd.in/dYWTYyrT
The most interesting Perplexity feature, explained.

7. To replace consultants - https://lnkd.in/dy8wC9Xg
This one is me. But useful to master search & slides.

8. OpusClip to edit video - https://lnkd.in/dPyJskNM
The best AI to edit videos (to this day).

9. Write a thesis with AI - 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
The official guide for Claude, from Claude's team.

11. ChatGPT images - https://lnkd.in/dh45EePJ
Still me. But I cover 80% within 12 slides. Not bad.

12. Gemini prompting - https://lnkd.in/gbmYrKJB
The best prompt guide, straight from Google.

13. Guide to AI agent - https://lnkd.in/d_e2FP2u
OpenAI made this (somehow) unknown guide.

14. Deepdive into LLMs - https://lnkd.in/d2eAsrsa
If you have 3 hours → 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.
🔗 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.
🔗 https://lnkd.in/ewuA6Ea5

3. AI Explained
"AI Explained offers insightful explanations of complex AI concepts in a digestible format for all audiences."
🔗 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.
🔗 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
🔗https://lnkd.in/eFAiHndt

6. All About AI
"All About AI: Your go-to destination for insightful explorations into the world of artificial intelligence."
🔗 https://lnkd.in/ewwaSXyx

7. Murtaza’s Workshop – Robotics and AI
Murtaza's Workshop explores the realms of robotics and AI, bridging theory and practice for enthusiasts and learners alike.
🔗 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.
🔗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.
🔗https://lnkd.in/gt5ezUYY

🔗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

AI Repos - 2025

𝟭. 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝗜 𝗙𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀
↳ Start your AI journey with this structured curriculum.
↳ Learn core concepts like neural networks and computer vision.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/e_3mXMfp

𝟮. 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗳𝗼𝗿 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀
↳ Dive into Generative AI with this project-based course.
↳ Master prompt engineering and build your first LLM applications.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/e-S6r4fE

𝟯. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗚𝘂𝗶𝗱𝗲
↳ Learn to communicate effectively with AI models.
↳ This guide covers everything from basic techniques to advanced strategies.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/eEuWfNiS

𝟰. 𝗟𝗟𝗠 𝗖𝗼𝘂𝗿𝘀𝗲
↳ Follow a clear path from ML basics to advanced fine-tuning.
↳ Understand quantization and LoRA with practical examples.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/ecU3xEe5

𝟱. 𝗔𝘄𝗲𝘀𝗼𝗺𝗲 𝗟𝗟𝗠 𝗔𝗽𝗽𝘀
↳ Discover a curated list of real-world LLM applications.
↳ Find inspiration and code for your own projects here.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/eZSvVAsJ

𝟲. 𝗟𝗟𝗠𝘀-𝗳𝗿𝗼𝗺-𝘀𝗰𝗿𝗮𝘁𝗰𝗵
↳ Build a large language model from the ground up.
↳ Deeply understand tokenization, model architecture, and training.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/eEePivQh

𝟳. 𝗛𝗮𝗻𝗱𝘀-𝗢𝗻 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀
↳ Get practical with Hugging Face's transformers library.
↳ Learn to fine-tune and deploy open-source models effectively.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/eBgXeDC6

𝟴. 𝗠𝗮𝗱𝗲-𝗪𝗶𝘁𝗵-𝗠𝗟
↳ Learn to build and deploy production-ready ML systems.
↳ This guide emphasizes MLOps and best practices from the start.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/ePnFxDDt

𝟵. 𝗚𝗲𝗻𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀
↳ Explore the frontier of autonomous AI agents.
↳ Learn about agent architectures, tools, and memory systems.
🔗𝗟𝗶𝗻𝗸: https://lnkd.in/eCQgqihz

3 Month AI/ML Roadmap

AI/ML Roadmap