Interactive lesson~18 minAdvanced

Long Context & Memory

Long-context systems decide what belongs in the prompt, what belongs in memory, and what should be retrieved only when needed.

Long contextMemoryRetrieval

Mental model

Context is working memory; retrieval is the bookshelf.

Million-token contexts are useful, but cost, attention dilution, and stale memory still require careful architecture.

Recall

balanced

74% modeled signal

Cost

balanced

67% modeled signal

Freshness

balanced

65% modeled signal

Concept pipeline

Build the idea in four moves

Interactive lab

Design memory for a long-running assistant.

Segment

Break experience into retrievable chunks and events.

Focus lens

The part that usually clicks late

Context budget

More context is not always more attention.

Recall

74

Cost

67

Freshness

65

Knowledge check

Why not put every memory into the prompt?

Next horizon

Where this topic is headed

Episodic agent memory
Memory evals
Context compression models
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