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Prompt rankings can shift dramatically under minor variations, leading to unreliable selections that could misguide downstream applications.
LLMs can now autonomously design and build better-performing agents using OpenSage, an agent development kit that lets them self-generate agent topology, toolsets, and memory structures.
