LLMOps in action: From prototype to production

If you’ve ever built a GenAI application, you know the drill—your prototype looks amazing in a demo, but when it’s time to go live? Different story.

In this exclusive video, Samin Alnajafi, Success Machine Learning Engineer at Weights & Biases, unpacks why LLMOps is the missing link between promising GenAI experiments and real-world deployment.

Here’s what you’ll learn:

  • Why so many GenAI projects stall before reaching production
  • How to measure and optimize performance using LLMOps best practices
  • Key components of a scalable retrieval-augmented generation (RAG) pipeline
  • Practical examples and a live demo of Weights & Biases tools

Don’t let your GenAI project get stuck in limbo. 

Log in to your Insider dashboard and watch now.

P.S. And if you have a few minutes to spare today, why not share your LLMOps expertise? We know how busy you are, so thank you in advance!

LLMOps in action: From prototype to production
Share the tools you use, the challenges you have, and more, and help define the LLMOps landscape.

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