By DeepLearning.AI, AI Dev, The Batch @ DeepLearning.AI
An agent that calls tools and decides its next step can complete a task. Making that agent reliable over longer, more complex work takes more: loops that check its output, start a new run each time an event occurs, and help the agent improve from past runs.
Salil Sethi, Applied AI Lead for Strategic Startups at OpenAI, is speaking at AI Dev NYC, Nov 30 – Dec 1.
What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI? I speak regularly with engineering leaders, and want to share some effective practices. If you’re starting a new team of 2-3 persons, you can…
The longer an agent works, the more repeated, contradictory, or stale information builds up in its context. Models perform worse as their context grows, a problem Jeff Huber and his team at Chroma named Context Rot.