Building an MLOps pipeline with Dagger.io and KitOps
Learn how to build scalable MLOps pipelines with Dagger.io and KitOps. Streamline model deployment, monitoring, CI/CD, and version control for faster ML production.
61 posts in KitOps
Learn how to build scalable MLOps pipelines with Dagger.io and KitOps. Streamline model deployment, monitoring, CI/CD, and version control for faster ML production.
Discover the top 5 production-ready open source AI libraries like PyTorch, HuggingFace, and ModelKits, empowering engineering teams to build and deploy production-ready AI models
In this post, we breakdown how to identify which parts of your existing infrastructure, tools, and processes can be adapted to work with AI/ML and which parts genuinely require a new approach.
Build AI tailored to your data. Fine-tune LLMs with Lamini and deploy securely using KitOps for maximum privacy and ease of integration.
Protect your LLMs from data breaches and attacks. Explore the critical security risks and strategies to protect your models and sensitive data.
Step-by-step guide for DevOps engineers: add ML model packaging, versioning, and deployment to your existing CI/CD pipeline using KitOps. Open source.