News
Announcing our updated Responsible Scaling Policy
This update introduces a more flexible and nuanced approach to assessing and managing AI risks while maintaining our commitment not to train or deploy models unless we have implemented adequate safeguards.
ResearchSecurity Implementation for Responsible AI: A Practical FrameworkCybersecurity Exchange
BlogsAnnouncing Background Functions - Serverless Lambda FunctionsNetlify
BlogsAnnouncing native TypeScript support for Netlify FunctionsNetlify
BlogsAnnouncing Netlify Drop - The simplicity of BitBalloon, with the added power of NetlifyNetlify
ResearchThe Art of Asking: Multilingual Prompt Optimization for Synthetic DataCohere
ResearchPolicy Primer - Translating SafetyCohere
BlogsHow I Support Humans in the AI EraHoneycomb
BlogsPractical Use Of AI Coding Tools For The Responsible DeveloperSmashingmagazine
ResearchPolicy Primer - Efficient AICohere
ResearchContrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashionCohere
ResearchEAGER: Entropy-Aware Generation for Adaptive Inference-Time ScalingCohere
BlogsDocker Acquires MCP Defender for Agentic AI SecurityDocker
BlogsAnnouncing the release of KubeVirt v1.8Cncf
BlogsI made a policy engine think it was in productionCncf
