Want to Improve Your GenAI Agent’s Response Quality by Up to 60%? Here’s how you can do it super easily - using AI of course: Having high-quality data is key to improving your AI agent. However, almost nobody manages to get to the proper content as it is super time-consuming and resource-intensive. How do you solve that? It's easy: just use GenAI to generate your initial evaluation dataset! However, getting it right isn't easy, with so many possibilities. The new Synthetic Data Generation API from Databricks is built based on our research team findings, providing state-of-the-art data generation tailored to improve your agents. This API generates tailored evaluation datasets in minutes, eliminating the need for lengthy manual labeling by subject matter experts. It’s like creating a software test suite for your AI agents, enabling quick assessment and refinement based on your proprietary data. We saw up to 60% improvement in agent response quality by leveraging synthetic data to streamline evaluation process! With these capabilities, you can accelerate development, reduce costs, and focus on optimizing performance! Of course, this won't replace final human validation, but it does bridge the gap and remove the "cold start" challenge around genAI and evaluation! Want to know more? Check this demo video from Eric Peter= => https://lnkd.in/e_Z4qtUt Full blog post: https://lnkd.in/ejG7QnnP
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1wData-driven evaluation with AI makes perfect sense for optimizing agent responses.