Chapter 5 Complete
You have learned
In-Context Learning & Prompting
You now understand how LLMs learn from examples without changing their
weights: The secret of In-Context Learning, the power of System Prompts,
and why format often matters more than content.
In-Context Learning
System Prompts
Attention Heatmaps
Lost-in-the-Middle
Format vs. Content
N-Shot Scaling
Few-Shot Learning
Continue with Chapter 6
Training & Inference
Dive into the world of LLM training: RLHF, DPO,
sampling strategies like Temperature and Top-K/Top-P,
as well as optimizations like Quantization and Speculative Decoding.