LLMs & Chatbots · Page 4

The search giant imposes new limitations on the social media company's use of its advanced language models, signaling rising tensions in AI partnerships.

A thriving underground market for discounted Claude tokens reveals security risks that may outweigh financial savings for developers.

Adrafinil intelligently manages power settings for autonomous coding workflows, addressing a growing infrastructure gap in long-running AI agent development.

New speculative decoding method enables faster AI model responses by predicting multiple tokens simultaneously.

The new model combines advanced technical capabilities with reinforced safeguards, signaling OpenAI's focus on both performance and responsible AI deployment.

New findings demonstrate autonomous AI systems are expanding workplace productivity and tackling increasingly sophisticated workflows.

The new Jalapeno processor aims to cut costs and boost speed for running large AI models in production environments.

The AI leader is collaborating on evaluation frameworks and global protocols to establish shared best practices for advanced systems.

A major language model helped researchers decode T cell mechanisms that had eluded scientists for years, promising advances in cancer and autoimmune disease treatment.

The European travel platform leverages large language models to enable natural-language booking and reshape how users plan trips.

A case study reveals techniques for maintaining context and managing multi-stage coding work with AI assistance.

New AI-powered platform aims to help organizations identify and patch software flaws at enterprise scale.

New initiative uses AI to identify and remediate software vulnerabilities across critical open source projects.

The electronics giant's enterprise-scale rollout represents one of OpenAI's largest corporate AI implementations to date.

Advanced reasoning system identifies genetic conditions that stumped physicians, suggesting new role for AI in pediatric medicine.

New spending controls and detailed usage tracking help large organizations optimize their generative AI expenditures while scaling deployments.

New model iteration strengthens health advice quality through physician-guided training and improved contextual understanding.

A new expert-vetted benchmark measures how well AI systems tackle real-world life science problems and decisions.