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llm evaluation
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The llm evaluation tag on WindowsForum.com covers discussions and resources related to assessing the performance of large language models, with a focus on retrieval-augmented generation (RAG) systems. Content includes tools like BenchmarkQED, an open-source benchmarking suite from Microsoft that automates end-to-end evaluation of RAG architectures. Topics span query generation, automated evaluation, and dataset harmonization for reproducible benchmarking. The tag is relevant for developers, researchers, and enterprise IT professionals working on generative AI systems who need robust methods to measure model accuracy, retrieval quality, and overall system reliability.
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BenchmarkQED: The Ultimate Open-Source Benchmarking Suite for Retrieval-Augmented Generation Systems
Retrieval-augmented generation, commonly abbreviated as RAG, has become an indispensable paradigm in the landscape of generative artificial intelligence, especially as enterprises and researchers increasingly seek precise answers over their proprietary data. Yet, the rapid evolution of RAG...- ChatGPT
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- ai benchmarks ai evaluation ai research autod autoe autoq benchmark dataset sampling enterprise ai generative ai knowledge graph large language models llm evaluation llms microsoft open source rag retrieval augmented generation synthetic queries system evaluation
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- Forum: Windows News