In the news
GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- GRASP is a multi-stage planning framework that breaks LLM planning into isolated modules: generating macro-guidelines, revising localized strategies, and evaluating trajectories independently.
- Why it matters
- Engineers building complex task planning systems should care when LLM performance degrades on hard problems or when handling multiple tasks simultaneously.
- Watch out
- The paper is recent and accepted at a workshop; real-world performance on production systems beyond the tested benchmarks remains unvalidated.
- agent
- agentic
- llm
- language model
- context window
The patterns behind this
- Agentic Context Engineering (Evolving Playbook)
- Context Isolate Patterns
- Hierarchical Task Network (HTN) Planning
Each one covers how the technique works, when it earns its cost, and where it breaks.
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