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Senior Data Scientist with multiple years of experience building evaluation frameworks…
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Junling Hu
In production agentic system, an orchestrator agent is important for funneling user requests to the correct agent for handling. This paper provides good insights on what kind of LLMs an orchestrator agent should use. It seems a smaller LLM is sufficient and more accurate (finetuned with RL) than larger LLMs.
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Unite.AI
PyTorch Foundation Integrates Ray, a Distributed Computing Framework, to Build a Unified AI Infrastructure Stack - The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially joined its ranks. The move marks a significant step toward a unified, interoperable, and production-ready AI compute stack—one that ties together the foundational layers of model development (PyTorch), distributed inference (vLLM), and large-scale execution (Ray). A Unified Foundation for Open Source AI Hosted under the Linux Foundation, the PyTorch Foundation acts as a central hub for some of the most important open source AI technologies. Its mission is to reduce fragmentation and […] - https://lnkd.in/ej_btQR7
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Ayan Sinha
I’m excited to attend NeurIPS workshop sessions at San Diego and present two papers authored by the applied research team: 1. GraphMatch: Fusing Language and Graph Representations in a Dynamic Two-Sided Work Marketplace. Mikołaj Sacha et al. - NeurIPS Workshop on Unifying Representations in Neural Models (UniReps) 2. Towards Real-World Evaluation of Agentic Work in Freelance Marketplaces. Mattie Terzolo et al. - NeurIPS Workshop on LLM Evaluation Over the next couple of days, I’ll be sharing insights and some behind-the-scenes perspectives on how we think about these models, how they’re shaping Upwork today, and the opportunities we see ahead. For attendees already onsite at the main conference, please stop by the Upwork booth #722 to learn more about the efforts the ML & AI team is driving - from research to real product impact. Feels great to be again publishing at NeurIPS after a hiatus and looking forward to great conversations and inspiration ahead!
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