Live monitoring
Trusted sources, attribution, rights, and in-site reading distilled into a signal-first AI brief.
New in LangSmith: a Fleet on-call copilot for alert triage, computer use for agents, voice trace debugging, and experiment status tracking. Plus Deep Agents Rubrics, programmatic subagents, a new LangSmith Deployment course, and upcoming events in Chicago, Berlin, DC, and Vegas.
This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200 instances.
This post demonstrates how to implement video upscaling using SeedVR2 on SageMaker AI. It covers solution architecture, deployment steps, and performance comparisons highlighting quality improvements and processing efficiency. By the end, you'll have practical knowledge to implement this super resolution solution.
In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Context Protocol (MCP) to provide self-service health event analytics.
This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.
Ai2 compares its 7B transformer Olmo 3 and hybrid Olmo Hybrid, finding the hybrid excels on content words (nouns, verbs, adjectives) and tokens requiring context, but loses advantage on repeated tokens and closing brackets. Token-level loss filtering reveals architectural differences.
Researchers introduce generative causal testing, which translates black box models into clear hypotheses and verifies them in the scanner, revealing what specific brain regions respond to in language.
On the Max Agency Podcast, Zack Reneau-Wedeen discusses the future of AI agents, advocating for simple architectures, outcome-based pricing, and avoiding 'org chart shipping.' He shares insights from building customer-facing agents at Sierra.