Advanced RAG Evaluation Techniques for Optimal LLM Performance
Why RAG Evaluation Matters and Techniques to Leverage
Good morning everyone!
You are probably implementing RAG systems, missing out on easy improvements. Most don’t even have an evaluation pipeline. How can they know if it’s optimal or if their system is improving with any changes? This is through evaluation, which is different from evaluating LLMs themselves.
Let’s dive into the key evaluation metrics and methods we’ve found useful while developing RAG systems at Towards AI.
Why is evaluation important? Effectively evaluating and optimizing LLM-based systems can be the difference between a nice demo and a highly useful, trustworthy LLM tool or product. Whether you’re developing a customer service bot or a research tool, good evaluation will help you create more reliable and effective AI solutions that can actually be shipped to production. Let's see how to best do your evals...
Learn more in the video (or written article):
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🎯 Ready to take the leap? Check out the course here and don’t forget to explore our book (or e-book), Building LLMs for Production, for an even deeper dive into the LLM revolution.
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