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  • How to make your completions outputs consistent with the . . .
    TLDR: Developers can now specify seed parameter in the Chat Completion request to receive (mostly) consistent outputs To help you keep track of these changes, we expose the system_fingerprint field
  • Eval Driven System Design - From Prototype to Production
    Guiding Narrative: From Tiny Seed to Production System We'll follow a realistic storyline: replacing a manual receipt-analysis service for validating expenses Start Small: Begin with a very small set of labeled data (retail receipts)
  • Evals API Use-case - Tools Evaluation | OpenAI Cookbook
    OpenAI Evals provides a robust, reproducible framework for evaluating LLMs on structured extraction tasks By combining clear tool schemas, rigorous grading rubrics, and well-structured datasets, you can measure and improve
  • OpenAI Cookbook
    Open-source examples and guides for building with the OpenAI API Browse a collection of snippets, advanced techniques and walkthroughs Share your own examples and guides
  • Evals API Use-case - Structured Outputs Evaluation
    This notebook walks you through a set of focused, runnable examples how to use the OpenAI Evals framework to test, grade, and iterate on tasks that require large‑language models to produce structured outputs
  • Getting Started with OpenAI Evals
    Building out effective evals is a core part of the development cycle of LLM-based applications The OpenAI Evals framework provides the core structure of building evals out of the box, and allows you to quickly spin up new tests for
  • OpenAI Cookbook
    Open-source examples and guides for building with the OpenAI API Browse a collection of snippets, advanced techniques and walkthroughs Share your own examples and guides
  • How to format inputs to ChatGPT models - OpenAI
    ChatGPT is powered by gpt-3 5-turbo and gpt-4, OpenAI's most advanced models You can build your own applications with gpt-3 5-turbo or gpt-4 using the OpenAI API Chat models take a series of messages as input, and return an AI-written message as output


















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