DeepEval
PulseAugur coverage of DeepEval — every cluster mentioning DeepEval across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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AI Harnesses Crucial for Production-Grade LLM Agents, Not Just Models
Production-grade AI agents require a robust "AI Harness" rather than just a superior model, as most AI projects fail due to infrastructure issues. This harness acts as an operating layer managing context, tools, memory,…
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RAG systems need advanced evaluation beyond recall to ensure faithfulness and coverage
This article series explores diagnosing issues in Retrieval-Augmented Generation (RAG) systems, moving beyond intuitive tuning to data-driven root cause analysis. It introduces a decision tree using RAGAS metrics like c…
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RAG evaluation systems measure retrieval, grounding, and answer faithfulness
Retrieval-Augmented Generation (RAG) systems, while popular for reducing hallucinations, require robust evaluation beyond simple retrieval metrics. These systems involve two coupled components: a retriever and a generat…
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New RAG research tackles bias and benchmarks retrieval for improved AI accuracy
Two new arXiv papers explore advancements in Retrieval-Augmented Generation (RAG) for specialized domains. The first paper benchmarks five retrieval strategies for biomedical question-answering, finding that Cross-Encod…
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AI models evaluated on meeting summaries, GPT-5.1 shows gains
Researchers have developed a reusable pipeline for evaluating AI-generated meeting summaries, designed to be adaptable across different domains. The system treats both ground truth and AI outputs as structured artifacts…