** HEADING**	MATERIAL
1. Introduction To AI - Fundamentals	• AI Fundamentals
• CS50x 2024 - Artificial Intelligence
• Pandas
2. Introduction to LLMs	• [1hr Talk] Intro to Large Language Models
• Large Language Models explained briefly
• Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
• [**Transformers (how LLMs work) explained visually	DL5**](https://www.youtube.com/watch?v=wjZofJX0v4M&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=6&pp=iAQB)
• [**Attention in transformers, step-by-step	DL6**](https://www.youtube.com/watch?v=eMlx5fFNoYc&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=7&t=2s&pp=iAQB)
• [**How might LLMs store facts	DL7**](https://www.youtube.com/watch?v=9-Jl0dxWQs8&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi&index=8&t=1s&pp=iAQB)
• Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy
• Let's build GPT: from scratch, in code, spelled out.
3. Neural Networks & Deep Learning	• [MIT Introduction to Deep Learning
• Deep Learning - 3Blue1Brown
• Gradient Descent - 3Blue1Brown
• Back Propagation - 3Blue1Brown
• Math's Behind Back Propagation - 3Blue1Brown
• Andrej Karpathy
• Backpropagation in Deep Learning (L1, L2, L3)
• Activation Functions
• Activation Function - Campus X
4. Computer Vision Basics	• Convolutional Neural Networks Explained (CNN Visualized)
• But what is a convolution?
• MIT 6.S191: Convolutional Neural Networks
• C4W1L02 Edge Detection Examples
5. Data Engineering & Model Evaluation	• [How to use SQL in Google Colab Notebook?
• [Precision, Recall, F1 score, True Positive	Deep Learning Tutorial 19 (Tensorflow2.0, Keras & Python)](https://www.youtube.com/watch?v=2osIZ-dSPGE&pp=ygUQbW9kZWwgZXZhbHVhdGlvbg%3D%3D)
• [Performance Metrics, Accuracy,Precision,Recall And F-Beta Score Explained In Hindi	Machine Learning](https://www.youtube.com/watch?v=5vqk6HnITko&pp=ygUZbW9kZWwgZXZhbHVhdGlvbiBmMSBzY29yZQ%3D%3D)
6. LLM Visualization Animation	Brendan Bycroft
7. Research Paper Platform	Arxiv
8. Research Paper Summary	Two Minutes Paper
9. ML Tutorials	Sentdex
10. ML/Statistics	StatQuest
11. News & Updates	Alpha Signal
Rundown AI
12. Advanced LLMs & Fine-Tuning	• LoRA & QLoRA Fine-tuning Explained In-Depth
• 4-Langchain Series-Getting Started With RAG Pipeline Using Langchain Chromadb And FAISS
• Advanced Prompt Engineering: OpenAI Hackathon
• Prompt Engineering And LLM's With LangChain In One Shot-Generative AI
13. Transfer Learning & Yolo Algorithm	• [Transfer Learning
• [What is Transfer Learning? Transfer Learning in Keras	Fine Tuning Vs Feature Extraction](https://www.youtube.com/watch?v=WWcgHjuKVqA&pp=ygURdHJhbnNmZXIgbGVhcm5pbmc%3D)
• PyTorch Tutorial 15 - Transfer Learning
• [What is YOLO algorithm?	Deep Learning Tutorial 31 (Tensorflow, Keras & Python)](https://www.youtube.com/watch?v=ag3DLKsl2vk&pp=ygUbb2JqZWN0IGRldGVjdGlvbiB1c2luZyB5b2xv)
• [YOLO Object Detection Using OpenCV And Python	Python Projects
14. Generative AI & Diffusion	• [Stable Diffusion from Scratch in PyTorch
• Stable Diffusion Crash Course for Beginners
15. Optimization & Ethics	• [Quantization in deep learning
• Part 1-Road To Learn Finetuning LLM With Custom Data-Quantization,LoRA,QLoRA Indepth Intuition
• Introduction to Responsible AI
16. Projects	• Build AI Apps with ChatGPT, DALL-E, and GPT-4 – Full Course for Beginners
17. Datasets	• Kaggle
• Google Dataset Search
• FiveThirtyEight
• Data.GOV - India
• Data.GOV - US
• Data.GOV - Malaysia
• Github Datasets - 1 Link
• Github - Full Data Repo
• NASA Data
• Hugging Face Datasets
• Open ML
• Google Cloud
• Maven Analytics
• Reddit
• Data World
• Microsoft Datasets
• Twitter Datasets - Manual Search
• UCI Machine Learning Datasets
• Github Link
• Data.GOV - Ireland
• Data.GOV - Europe
• Scikit Learn
• AWS Datasets
18. API	Free Github API’s
Apipheny
Rapid
Github
19.