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The Georgia Institute of Technology and Salesforce AIResearchresearchers introduce a new framework for evaluating RAG systems based on a metric called “sub-question coverage.” If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.
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Researchers in AI are working to enable these models to perform not just language understanding but also complex reasoning tasks like problem-solving in mathematics, logic, and general knowledge. In response to these limitations, researchers from Salesforce AIResearch introduced a novel method called ReGenesis.
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The lack of effective evaluation methods poses a serious problem for AIresearch and development. Current evaluation frameworks, such as LLM-as-a-Judge, which uses large language models to judge outputs from other AI systems, must account for the entire task-solving process. If you like our work, you will love our newsletter.
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Meta AI’s effort to push the boundaries of efficient AI modeling highlights the growing emphasis on sustainable, inclusive AI development—a trend that is sure to shape the future of AIresearch and application. All credit for this research goes to the researchers of this project.
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