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REFERENCES:
1. Build an LLM from Scratch book: mng.bz/M96o
2. Build an LLM from Scratch repo: github.com/rasbt/LLMs-from-sc...
3. Slides: sebastianraschka.com/pdf/slid...
4. LitGPT: github.com/Lightning-AI/litgpt
5. TinyLlama pretraining: lightning.ai/lightning-ai/stu...
DESCRIPTION:
This video provides an overview of the three stages of developing an LLM: Building, Training, and Finetuning. The focus is on explaining how LLMs work by describing how each step works.
OUTLINE:
00:00 - Using LLMs
02:50 - The stages of developing an LLM
05:26 - The dataset
10:15 - Generating multi-word outputs
12:30 - Tokenization
15:35 - Pretraining datasets
21:53 - LLM architecture
27:20 - Pretraining
35:21 - Classification finetuning
39:48 - Instruction finetuning
43:06 - Preference finetuning
46:04 - Evaluating LLMs
53:59 - Pretraining & finetuning rules of thumb