Enterprises are intensifying their efforts to unlock value from generative AI and Large Language Models (LLMs) for domain-specific tasks. This surge in interest extends to advanced techniques such as Retrieval Augmented Generation (RAG), a method enriching LLMs with new knowledge and capabilities. In this evolving landscape, the role of synthetic data in advancing the evaluation and development of RAG techniques is paramount.
During this workshop, Sam Kemp, Principal AI Platform Architect at Microsoft, joined Gretel's Co-Founder and Chief Product Officer, Alex Watson, and leaders from Gretel's product team to demonstrate how Gretel Navigator can be applied to generate synthetic datasets to optimize RAG solutions. See how this facilitates the generation of realistic and varied questions and answers, bolstering the robustness of RAG systems.
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