Building out a Local AI Evaluation Workflow скачать в хорошем качестве

Building out a Local AI Evaluation Workflow

In this video, you'll learn about how to build out an easy-to-use initial evaluation workflow to support your local AI projects. This usually happens after you have the initial idea of what you want to build and have collected or generated some data for it. This video will show you how to bulk-process your prompt alongside your data for your use case and then go through and evaluate the responses to either improve your prompt, your data or compare and choose different models. Check out the notebook in my masterclass repository: https://github.com/kjam/secure-and-pr... Interested in taking my masterclass online? Subscribe to my newsletter to get notified of upcoming classes: https://probablyprivate.com Additional resources I'd recommend on evaluations: Hamel Husain's Playlist on LLM Evals:    • LLM Evals   His Evals FAQ: https://hamel.dev/blog/posts/evals-faq/ Hugo Bowne-Anderson's Chat on Evals:    • How to Build and Evaluate AI systems in th...   What's worked well so far in your evals? Any additional resources you've found helpful?