Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
Anthropic updates tool calling to reduce token use; tool search cuts tokens up to 80%, making larger tool sets practical.
RoguePilot flaw let GitHub Copilot leak GITHUB_TOKEN, while new studies expose LLM side channels, ShadowLogic backdoors, and promptware risks.
AI’s brilliance comes at a hidden cost. Frontier labs are spending billions to serve their most demanding users, even as cheaper rivals race to commoditize their breakthroughs. The result may be a ...
Destroyed servers and DoS attacks: What can happen when OpenClaw AI agents interact ...
The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...
AI incidents jumped 56% in 2024. The Stanford AI Index counted 233 reported AI failures last year, up from 149 in 2023, ...
Supercharge your AI Agents and Applications with InSync's Industry-Leading MCP: 160+ Financial Data Series including ...
Salesforce, Inc. (CRM) Discusses Agentic Enterprise Architecture Evolution and Innovation Transcript
Today, we will deep dive on our Agentic enterprise architecture evolution and innovation. As you heard earlier this week on our earnings call, our 4-system architecture of engagement, agency, work and ...
XDA Developers on MSN
You're using your local LLM wrong if you're prompting it like a cloud LLM
Local models work best when you meet them halfway ...
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