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Researchers from Salesforce AIResearch have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.
Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase InferenceEngine (Promoted) The post Google AIResearch Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise appeared first on MarkTechPost.
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SGLang is an open-source inferenceengine designed by the SGLang team to address these challenges. It optimizes CPU and GPU resources during inference, achieving significantly higher throughput than many competitive solutions. Also,feel free to follow us on Twitter and dont forget to join our 75k+ ML SubReddit.
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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.” Researchers could pinpoint gaps where each system failed to deliver comprehensive answers by measuring coverage across these categories.
Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase InferenceEngine (Promoted) The post Google AIResearch Introduces Process Advantage Verifiers: A Novel Machine Learning Approach to Improving LLM Reasoning Capabilities appeared first on MarkTechPost.
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Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users. The era of the AI PC is here, and it’s powered by NVIDIA RTX and GeForce RTX technologies. Tokens are the output of the LLM.
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Lin Qiao, was formerly head of Meta's PyTorch and is the Co-Founder and CEO of Fireworks AI. Fireworks AI is a production AI platform that is built for developers, Fireworks partners with the world's leading generative AIresearchers to serve the best models, at the fastest speeds. It even inspired our name!
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These barriers limit reproducibility, increase development time, and make experimentation challenging, particularly for academia and smaller research institutions. Addressing these issues requires a lightweight, flexible, and efficient approach that reduces friction in LLM research. If you like our work, you will love our newsletter.
In the fast-paced world of AI, efficient code generation is a challenge that can’t be overlooked. Addressing this efficiency gap head-on, Deci, a pioneering AI company, introduces DeciCoder, a 1-billion-parameter open-source Large Language Model (LLM) that aims to redefine the gold standard in efficient and accurate code generation.
Judge introductions Andreas Stuhlmüller (AS) — Hi, I'm CEO & cofounder of Elicit, an AI company working on scaling up high-quality reasoning, starting with science. I've been interested in how AI can differentially advance wisdom for a long time, and (pre LLMs) founded the non-profit Ought to work on that topic.
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