In the news
Goal Engineering
LangChain · Published · 3 min read
In 30 seconds
- What happened
- LangChain publishes guidance on designing agent goals to enable effective human feedback loops and agent learning.
- Why it matters
- Engineers building goal-oriented agents need this when agents struggle to learn from feedback or operate inefficiently across tasks.
- Watch out
- The article uses a sales agent case study; principles may not transfer directly to other domains with different feedback dynamics.
- agent
The patterns behind this
- Reinforcement Learning from Human Feedback
- Human-in-the-Loop Agent (HULA)
- Reinforcement Learning from AI Feedback
Each one covers how the technique works, when it earns its cost, and where it breaks.
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