Agentic Context Engineering
a day ago
- #Context Engineering
- #Machine Learning
- #Large Language Models
- Introduces ACE (Agentic Context Engineering), a framework for evolving contexts in LLM applications.
- Addresses brevity bias and context collapse by using structured, incremental updates.
- Improves performance on agent and domain-specific benchmarks (+10.6% on agents, +8.6% on finance).
- Reduces adaptation latency and rollout cost while leveraging natural execution feedback.
- Matches top-ranked production-level agent on AppWorld leaderboard with a smaller open-source model.