Agents2 min read
Jev decision model and LangGraph for reliable AI systems
Jev is a new decision model that is faster and cheaper than traditional large language models. LangGraph helps build reliable AI workflows.
From LangChain blog
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Agents2 min read
Jev is a new decision model that is faster and cheaper than traditional large language models. LangGraph helps build reliable AI workflows.
From LangChain blog
Agents1 min read
NarrateAI delivers production-ready LLM quality assurance on Amazon Bedrock. This post details five techniques—adaptive pipeline orchestration, cross-account multi-model failover, real-time streaming evaluation, composite evaluation, and...
From AWS machine learning blog
Photo: Yan Krukau
Agents2 min read
LangSmith now displays agent session trajectories, making it easier to see what an agent did and find issues faster.
From LangChain blog
Agents2 min read
Managed Deep Agents 0.8 introduces user-level memory, identity-based authentication, HTTP channels, and web search support for production agents.
From LangChain blog
Agents2 min read
LangSmith Engine v2 introduces red teaming and automatic testing of fixes. It helps find issues early and speeds up agent development.
From LangChain blog
AI4 min read
Google Cloud has become the platform of choice for startups building AI. Our uniquely complete stack — including a choice of first- and third-party compute and models; our platform for building and managing agents; and our products for s...
From Google Cloud AI blog
AI1 min read
Nokia’s applied research team has open-sourced AnyJev, a Python library that turns an open LLM into a decision model. It needs no training. It targets a common production job: picking one answer from a fixed set instead of writing a sent...
From MarkTechPost
LLMs1 min read
As large language model (LLM) inference increasingly processes sensitive information and proprietary model context across personal, enterprise, and regulated...
From NVIDIA technical blog
Agents1 min read
See how LangSmith helps healthcare AI teams turn clinical review into reusable evaluators, datasets, and release gates for safer AI in production.
From LangChain blog
Agents1 min read
Reactiv used Amazon Bedrock AgentCore to build a multi-agent AI Scheduler that autonomously refreshes Shopify merchants' mobile apps on a schedule, reducing merchant configuration time by 80% and getting to production 33% faster.
From AWS machine learning blog
LLMs1 min read
A hard model swap exposes every user at once, and rolling back means cold-starting the old deployment under pressure. Here's how staged traffic ramps, metric gates, and automatic rollback work on dedicated inference.
From Together AI blog
Agents1 min read
Use Jev as a judge for LangSmith evals to evaluate agent traces with faster, cheaper structured feedback across production runs, datasets, and regression tests.
From LangChain blog
AI1 min read
Flet 1.0 shipped on September 15, 2026, and the team now calls the framework ready for production apps. We look at what changed: a layered CI suite that drives packaged apps on real devices, bundled Python 3.12, 3.13 and 3.14, more than ...
From MarkTechPost
Agents1 min read
Deploy production-ready Hugging Face models on Amazon SageMaker AI using six open-source agent skills. Point a coding agent at a model and get back a real-time endpoint with the right serving container, autoscaling, Amazon CloudWatch ala...
From AWS machine learning blog
LLMs1 min read
A global fintech runs GLM 5.2 on Together's Dedicated Model Inference to handle spiky traffic.
From Together AI blog
Agents1 min read
Wood Mackenzie built APEX to run multiple agents without rebuilding infrastructure.
From AWS machine learning blog
AI1 min read
Meta is building new glasses without cameras to address privacy concerns.
From TechCrunch AI
Agents1 min read
AgentCore optimization turns production traces into proposed configuration changes, then validates them before promotion. This technical companion to the launch post explains how the system prompt optimizer's reflector engine works and s...
From AWS machine learning blog
AI1 min read
SK Hynix discusses building RAM chips in the US with Intel. No final plans or decisions have been made yet.
From TechCrunch AI
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
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