The CircleCI R&D team is actively working on a set of features for teams building AI-powered software to optimize and automate their CI/CD pipelines in the most efficient way.

For your AI-enabled applications we are building a new paved CI/CD road: CircleCI for AI

  • Tools and integrations to enable testing of non-deterministic LLM-based features
  • New pipeline triggers, letting you launch builds on any change happening on external systems, including model registries, dataset hubs and prompt managers
  • Fast fail and asynchronous jobs, to help optimize your fine-tuning and training pipelines
  • Integration with leading MLOps tools
Simply sign-up to get notified upon release of these features and access our latest MLOps and LLMOps integrations ahead of the general public.

To better building,
The CircleCI R&D Team

Check out our new resources for AI-enabled projects:
Build and evaluate LLM-powered apps with Langchain and CircleCI
Deploy and re-evaluate LLM-powered apps with Langsmith and CircleCI
Optimize your MLOps pipelines with inbound webhooks

Want to catchup on our previous releases?
Click here to read CircleCI for AI - Email #1
Click here to read CircleCI for AI - Email #2
Click here to read CircleCI for AI - Email #3

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