4 tutorials that helped me learn LLM fine-tuning in 3 weeks: 1. “How to Fine-Tune LLMs in 2024 with Hugging Face” by @_philschmid: https://t.co/bl07sjIQCA 2. “Kaggle Gemma2 9b Unsloth notebook” by @danielhanchen on... See more

a few months ago i shared this interactive blog post “LLM embeddings explained” on @huggingface and it gives me chills that people have actually found it helpful. yesterday someone posted about it on LinkedIn, made me think about it after a while! https://t.co/NpkRTw80kE

A suggestion for an effective 11-step LLM summer study plan: 1) Read* Chapters 1 and 2 on implementing the data loading pipeline (https://t.co/CwvRu6MRdV & https://t.co/NGT1VM4P1R). 2) Watch Karpathy's video on training a BPE tokenizer from scratch (https://t.co/UCSJQCxMxn). 3) Read Chapters 3 and 4 on... See more

any cs person can go from zero to deeply knowledgeable in llms and ai in ~2 years, top to bottom key topics on how llms work: > tokenization and embeddings > positional embeddings (absolute, rope, alibi) > self attention and multihead attention >... See more