Even (very) noisy LLM evaluators are useful for improving AI agents
Noisy evaluators have limited value for production decisions that hinge on judging a single output (e.g. guardrails).
TensorZero Blog14 min read
AI agents
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We're building an automated AI engineer, and it works
We’re building an automated AI engineer that dramatically improves performance of LLM agents on every single benchmark we’ve tried.
TensorZero Blog11 min readFrom NER to Agents: Does Automated Prompt Engineering Scale to Complex Tasks?
Crafting good system prompts is one of the trickiest parts of working with language models — especially when you’re dealing with complex, multi-step tasks. Doing it manually doesn’t scale, and the results are often hit-or-miss.
TensorZero Blog125 min read
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