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This post outlines the safety-first approach taken in building Sora 2 and the Sora app as a video generation model and social creation platform.
This post introduces coSTAR, Databricks' methodology for reliably testing and iterating on AI agents using MLflow.
Mazda built a GenAI-powered service assistant on Databricks Lakehouse to help hotline agents diagnose vehicle issues faster and more accurately.
IBM Research releases Mellea 0.4.0 and three Granite Libraries for building structured, verifiable, and safety-aware AI workflows on IBM Granite models.
This post explains how to monitor AI agents end-to-end using the OpenLIT SDK and Grafana Cloud for distributed tracing, metrics, and cost visibility.
This post explains how to set up end-to-end observability for LLM applications in production using Grafana Cloud, OpenLIT SDK, and OpenTelemetry.
Cloudflare's Workers AI now supports large frontier open-source models, launching with Moonshot AI's Kimi K2.5 to power agentic workloads on a unified platform.
Databricks announces the Public Preview of AI Runtime (AIR), a serverless training stack enabling on-demand distributed GPU training on NVIDIA A10s and H100s.
Pinterest describes how they built a production MCP (Model Context Protocol) ecosystem to enable AI agents to safely automate engineering tasks.
OpenAI explains how it monitors internal coding agents for misalignment using chain-of-thought analysis.
Grab's Analytics Data Warehouse team describes how they deployed a multi-agent AI system to reclaim 40% of engineering time spent on repetitive data support tasks.
OpenAI is acquiring Astral to accelerate Codex growth and advance the next generation of Python developer tools.
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