https://github.com/prajwalsrinvas/learn_gen_ai
https://github.com/prajwalsrinvas/learn_gen_ai
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/prajwalsrinvas/learn_gen_ai
- Owner: Prajwalsrinvas
- Created: 2025-01-18T18:13:36.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-02-15T14:28:30.000Z (4 months ago)
- Last Synced: 2025-02-15T15:30:10.475Z (4 months ago)
- Size: 6.24 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Learn GenAI
To keep track of resources I use to learn about LLMs and other AI related stuff.
| Resource | Comments |
|----------|-----------|
| [Common pitfalls when building generative AI applications](https://huyenchip.com/2025/01/16/ai-engineering-pitfalls.html) | Jan 16, 2025 • Chip Huyen |
| [Building A Generative AI Platform](https://huyenchip.com/2024/07/25/genai-platform.html) | Jul 25, 2024 • Chip Huyen |
| [Advanced RAG 03 - Hybrid Search BM25 & Ensembles](https://www.youtube.com/watch?v=lYxGYXjfrNI) | Sam Witteveen |
| [RAG But Better: Rerankers with Cohere AI](https://www.youtube.com/watch?v=Uh9bYiVrW_s) | James Briggs |
| [The 5 Levels Of Text Splitting For Retrieval](https://www.youtube.com/watch?v=8OJC21T2SL4) | Greg Kamradt |
| [FullStackRetrieval.com](https://community.fullstackretrieval.com/) | |
| [LLM Gateway](https://www.litellm.ai/) | LiteLLM: Provides model access, logging and usage tracking across 100+ LLMs. All in the OpenAI format |
| [What is an AI agent?](https://blog.langchain.dev/what-is-an-agent/) |LangChain Blog on agents|
| [Building effective agents](https://www.anthropic.com/research/building-effective-agents) | Anthropic shares what they've learned from working with customers and building agents, with practical advice for developers |
| [Agents](https://huyenchip.com/2025/01/07/agents.html) | Jan 7, 2025 • Chip Huyen |
---
## LLM fundamentals
| Title | Author/Instructor |
|--------|------------------|
| [Catching up on the weird world of LLMs](https://www.youtube.com/watch?v=h8Jth_ijZyY) | Simon Willison |
| [A Hackers' Guide to Language Models](https://www.youtube.com/watch?v=jkrNMKz9pWU) | Jeremy Howard (fast.ai) |
| [Large Language Models (in 2023)](https://www.youtube.com/watch?v=dbo3kNKPaUA) | Hyung Won Chung (OpenAI) |
| [Making Large Language Models Uncool Again](https://www.youtube.com/watch?v=6LXw2beprGI) | Jeremy Howard (fast.ai) |
| [General audience LLMs lectures](https://www.youtube.com/playlist?list=PLAqhIrjkxbuW9U8-vZ_s_cjKPT_FqRStI) | Andrej Karpathy |
| [LLM Lecture: Transformers, Prompts, and Human Feedback](https://www.youtube.com/watch?v=BprirYymXrg) | Letitia |
| [How Transformer LLMs Work](https://www.deeplearning.ai/short-courses/how-transformer-llms-work/) | Jay Alammar, Maarten Grootendorst |
| [Attention in Transformers](https://www.deeplearning.ai/short-courses/attention-in-transformers-concepts-and-code-in-pytorch/) | Josh Starmer |
| [Neural Networks: Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) | Andrej Karpathy |
| [Building LLMs from the Ground Up](https://www.youtube.com/watch?v=quh7z1q7-uc) | Sebastian Raschka |