- Your AI Product Needs Evals
Motivation I started working with language models five years ago when I led the team that created CodeSearchNet, a precursor to GitHub CoPilot. Since then, I’ve seen many successful and unsuccessful approaches to building LLM products. I’ve found that unsuccessful products almost always share a common root cause: a failure to create robust evaluation systems. I’m currently an independent consultan
- Fuck You, Show Me The Prompt.
Quickly understand inscrutable LLM frameworks by intercepting API calls. Background There are many libraries that aim to make the output of your LLMs better by re-writing or constructing the prompt for you. These libraries purport to make the output of your LLMs: safer (ex: guardrails) deterministic (ex: guidance) structured (ex: instructor) resilient (ex: langchain) … or even optimized for an arb
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