Chapter 4 Complete
You have learned
Optimizations & Memory
You now know the techniques that make LLMs efficient:
How KV-Cache accelerates inference, how different
positional encodings work, and how long contexts
are made possible through innovative memory techniques.
KV-Cache
Memory Growth
ALiBi Bias
RoPE
Sliding Window Attention
Ring Topology
Paged Attention
RAG Pipeline
Continue with Chapter 5
In-Context Learning & Prompting
Understand how LLMs learn from examples in context:
In-Context Learning, System Prompts, the Lost-in-the-Middle problem,
and why the format of examples is sometimes more important than the content.
Progress: Chapter 4 of 8 – Halfway there!