Get inspired and build
Balance accuracy, latency, and cost
Talk on optimizing AI systems for accuracy, speed, and cost.
Keep costs low & accuracy high
Guide on balancing cost efficiency with model accuracy.
Monitor usage with the Cost API
Cookbook showing how to track API usage and costs.
DevDay — optimization breakout
DevDay session discussing optimization of models and prompts.
Eval-driven dev — prototype to launch
Cookbook demonstrating eval-driven development workflows.
Evals design guide
Learn best practices for designing evals
Evals API — tools evaluation
Cookbook example demonstrating tool evaluation with the Evals API.
Evaluating model performance
Guide to measuring model quality using the Evals framework.
GPT-5 prompting guide
Cookbook guide on how to maximize GPT-5's performance.
Graders for Reinforcement Fine-Tuning
Cookbook on how to use graders for RFT tasks. showing different approaches to evaluating models with the OpenAI API.
Latency optimization guide
Best practices for reducing model response latency.
Launch apps with evaluations
Video on incorporating evals when deploying AI products.
LLM correctness and consistency
Best practices for achieving accurate and consistent model outputs.
Model optimization guide
Guide on optimizing OpenAI models for performance and cost.
Predicted outputs guide
Guide to understanding and using predicted outputs.
Prompt caching 101
Introductory cookbook on implementing prompt caching to reduce token usage.
Production best practices
Guide on best practices for running AI applications in production
Rate limits guide
Guide to understanding and managing rate limits
Reinforcement fine-tuning overview
Guide on reinforcement learning-based fine-tuning techniques.
Reinforcement fine-tuning — reasoning
Cookbook demonstrating reinforcement fine-tuning to enhance conversational models.