LLM Foundations - LLM Bootcamp

LLM Foundations - LLM Bootcamp

Dive into a comprehensive 48-minute video lecture on the foundational concepts of large language models. Explore core machine learning principles, the Transformer architecture, and notable LLMs. Gain insights into pretraining dataset composition, including the importance of code in training data. Learn about key components such as input embedding, masked multi-head attention, positional encoding, and feed-forward layers. Discover why Transformers work so well and examine notable models like BERT, T5, GPT, Chinchilla, LLaMA, and RETRO. Understand the significance of scaling laws and instruction tuning in LLM development. Access accompanying slides and additional resources for a deeper understanding of this rapidly evolving field.