How OpenAI’s Core Experimentation team uses Codex to remove unused code, clean up stale experiments, and improve CI.
Utilisez ChatGPT avec le plugin NGS Analysis pour valider les feuilles d’échantillons, les fichiers FASTQ et les fichiers de référence, puis obtenir un rapport MultiQC, des matrices Salmon, des ...
This cookbook demonstrates a repeatable optimization sprint for a tool-using agent: measure a baseline, change one part of the workflow, and check quality before accepting savings. It uses synthetic e ...
Astra has become very good at translating what I have in mind into gameplay and art direction. I’ve been using it in Codex to build Void Explorer, a space ...
How I used Astra to design a house, refine its everyday details, and explore it through Blender camera tours and an Unreal Engine 5 walkthrough. Author: Thomas Ricouard I started with a simple brief ...
Use ChatGPT, Codex Security, and open-source tools to investigate threats, validate vulnerabilities, and move from findings to reviewed, verified fixes. Author: Mike Aiello (OpenAI) When you find a ...
AI agents often need information from external services to complete a task. A procurement agent might check a supplier against a sanctions database, retrieve a current risk report, or use a paid ...
We built Secure MCP Tunnel because the MCP servers teams care about most are often the ones they least want to expose to the Internet. We wanted to share how we approached that constraint: keeping ...
Remote in the ChatGPT mobile app is easy to underestimate. At first glance, it looks like a way to check on a coding chat from your phone. That is useful, but it misses the bigger idea. The real power ...
OpenAI models on Amazon Bedrock expose an OpenAI-compatible Responses API surface for production workflows that need text generation, structured outputs, application tools, direct file inputs, ...
When an agentic system fails, the problem is often larger than a single bad response. A handoff may happen too late, a specialist agent may miss the same signal across many runs, or a review process ...
This notebook builds an improvement flywheel for an agent. We start with real traces, add human and model feedback, turn that feedback into evals, and use the resulting evidence to propose the next ...
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