LLM research
Study Reveals How Users Build Trust When LLMs Hallucinate
New research examines how users develop calibrated trust strategies when interacting with hallucination-prone LLMs, offering frameworks for safer human-AI collaboration.
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DeepMind
DeepMind Expands UK AI Security Institute Partnership
Google DeepMind deepens collaboration with UK AI Security Institute on frontier AI safety evaluation, establishing frameworks that could shape how synthetic media and generative models are assessed globally.
AI Regulation
State AGs Demand AI Giants Fix 'Delusional' Model Outputs
A coalition of state attorneys general has issued formal warnings to Microsoft, OpenAI, Google, and other major AI companies demanding fixes to AI systems that generate false or misleading information.
AI video generation
Tavus AI Santa Avatar Engages Users for Hours Daily
AI video startup Tavus reports users spending hours conversing with its synthetic Santa avatar, revealing unexpected engagement patterns in real-time AI video generation technology.
Intel
Intel Reportedly Close to Acquiring AI Chip Startup SambaNova
Intel is reportedly nearing a deal to acquire SambaNova Systems, an AI chip startup that could strengthen Intel's position in the competitive AI accelerator market against Nvidia.
LLM Deployment
Deploy High-Performance 4-Bit LLMs with FastAPI and vLLM
A technical deep-dive into deploying quantized large language models using AWQ compression, vLLM inference engine, and FastAPI for production-ready AI applications.
LLM Compression
Compressing 7B Parameter LLMs to 4.5GB: A Technical Guide
Learn how to reduce a 7 billion parameter language model from ~14GB to 4.5GB using quantization, pruning, and knowledge distillation while maintaining accuracy.
LLM Agents
Dual-Strategy Framework Boosts LLM Agent Decision Making
New research introduces a co-adaptive dual-strategy framework combining fast intuitive reasoning with slow deliberative thinking to improve LLM-based agent performance.
AI Evaluation
AgentEval: Can AI Agents Replace Human Judges for Synthetic Conte
New research explores using generative AI agents as reliable proxies for human evaluation of AI-generated content, potentially transforming how we assess synthetic media quality at scale.
LLM Agents
SABER Framework Tackles Error Cascades in LLM Agents
New research introduces SABER, a safeguarding framework that identifies how small errors in LLM agent actions can cascade into significant failures, proposing intervention mechanisms.
AI Agents
Research Asks: Can AI Agents Build and Run Data Systems?
New arXiv research explores whether AI agents can autonomously build, operate, and utilize complete data infrastructure, examining the boundaries of agentic AI capabilities.
AI Agents
Building Procedural Memory Agents: A Neural Module Guide
Learn to build AI agents that learn, store, and reuse skills as modular neural components. This technical guide covers procedural memory architecture for persistent skill acquisition.