summarization
3 free lessons tagged summarization across AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Submodularity in the Wild: Sensors, Influence, and Summaries
The theory pays off because so many real problems are submodular in disguise. This lesson works through the landmark applications: near-optimal sensor placement, influence maximization in social networks, and document summarization, each reduced to monotone submodular maximization and solved by the greedy algorithm.
Context Engineering for Long-Running Agents
How to manage, compress, and strategically fill the context window in long-horizon agents — covering summarization checkpoints, scratchpad memory, retrieval injection, prompt caching, and compaction triggers.
HippoRAG and RAPTOR: Hierarchical and Memory-Style RAG
Deep dive into two advanced RAG architectures — HippoRAG's hippocampal-inspired knowledge graph indexing and RAPTOR's recursive summarization tree — and why both dramatically outperform flat vector retrieval on multi-hop questions.