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πŸ“š Good Reads on AI

Welcome to Good Reads on AI a curated collection of essential articles, papers, blogs, and documentation shared by the instructor of Vizuara's Build LLM & Gen AI course. This repository is designed to serve as a knowledge hub for anyone diving into the world of Large Language Models (LLMs), Generative AI, LLM production Deployment and modern machine learning.


🧠 Large Language Models (LLMs)

Stanford Alpaca: A project that explores the fine-tuning of language models using instruction-following data.

LLMs from Scratch: A step-by-step guide to implementing a ChatGPT-like LLM in PyTorch.

Instruct Fine-Tuning Data: A JSON file containing data for instruction fine-tuning.

Hands-On Large Language Models: Official code repo for the O'Reilly Book - "Hands-On Large Language Models"


πŸ“„ Research Papers
  • Denoising Diffusion Implicit Models - ArXiv
  • Transfusion Model (Meta) - PDF
  • Diffusion Models for Image Generation - ArXiv
  • Bahdanau's Neural Machine Translation - ArXiv
  • Attention Is All You Need - ArXiv
  • TinyStories - ArXiv
  • A Survey of LLMs - ArXiv
  • Tokenizer Performance Across Indian Languages - ArXiv
  • Deep Residual Learning for Image Recognition - ArXiv
  • Language Modeling in a Sentence Representation Space ArXiv
  • Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Arxiv
  • Tree of Thoughts: Deliberate Problem Solving with Large Language Models ArXiv
  • The Illusion of Thinking Apple
  • RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners ArXiv
  • In context learning Arxiv

πŸ“Š Datasets

πŸ§ͺ Tutorials & Demonstrations

πŸš€ Notable Projects

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