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PrizePicks pulls in Druski and ex-football legends for its new promotional campaign
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Stop benchmarking in the lab: Inclusion Arena shows how LLMs perform in production
Researchers from Inclusion AI and Ant Group proposed a new LLM leaderboard that takes its data from real, in-production ...
LLMs generate ‘fluent nonsense’ when reasoning outside their training zone
Chain-of-Thought isn't a plug-and-play solution. For developers, this research offers a blueprint for LLM testing and st...
DeepSeek V3.1 just dropped — and it might be the most powerful open AI yet
China's DeepSeek has released a 685-billion parameter open-source AI model, DeepSeek V3.1, challenging OpenAI and Anthropic with breakthrough performance, hybrid reasoning, and zero-cost access on Hug...
Alation says new query feature offers 30% accuracy boost, helping enterprises turn data catalogs into problem solvers
Enterprise data catalogs are evolving into conversational AI agents that leverage metadata awareness to improve query ac...
Qwen-Image Edit gives Photoshop a run for its money with AI-powered text-to-image edits that work in seconds
Qwen-Image-Edit caters to professionals who need control while remaining approachable for casual experimentation.Read Mo...
Keychain raises $30M and launches AI operating system for CPG manufacturers
Keychain states it's currently being used by top CPG brands and food retailers including 7-Eleven, Whole Foods, and General Mills.Read More...
VB AI Impact Series: Can you really govern multi-agent AI?
SAP'S Yaad Oren and Agilent's Raj Jampa discuss how to deploy agentic AI while staying inside cost, latency, and compliance guardrails.Read More...
Nvidia releases a new small, open model Nemotron-Nano-9B-v2 with toggle on/off reasoning
Developers are free to create and distribute derivative models. Importantly, Nvidia does not claim ownership of any outputs generated...Read More...
Hugging Face: 5 ways enterprises can slash AI costs without sacrificing performance
Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.Read More...
GEPA optimizes LLMs without costly reinforcement learning
Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.Read More...
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