Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
Reward-free agents that learn from demonstrations, self-reflection, and deterministic guardrails. This repository combines Stanford/OSU’s Early Experience pipeline with Stanford’s Agentic Context ...
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