Evaluating RAG systems is crucial yet challenging. N. El Mawass and M. Knorps dive into the stability and usefulness of RAG evaluation libraries. They explore the impact of evaluator LLMs, query reformulation, and dataset characteristics on performance.
🔔 "Would you rely on ChatGPT to dial 911?" Nicolas Guenon des Mesnards explores balancing determinism and probabilism in production ML systems. Learn how to enhance robustness and controllability in ML models. 🔍
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🔬 Processing medical images at scale on the cloud is crucial for advancing oncology. Guillaume Desforges discusses the challenges and solutions in handling large Whole Slide Images for cancer detection.
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