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Garmin's new flagship Fenix 9 epitomizes the premium rugged smartwatch - but how much of an upgrade is it from the Fenix 8?
An insurer settles a claim months after the loss. An asset manager marks someone...
Automate web research with LangChain's retriever. Run parallel searches, scrape pages, and synthesize information with LLMs—locally or in the cloud.
Build reliable AI agents with Plan-and-Execute framework. Separate planning from execution for complex tasks with fewer errors.
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The new platforms show how the vendor is moving toward more vertical use of AI agents, but also how far behind it is.
AI & Machine Learning Now introducing Gemini Enterprise for Legal August 26, 2026 Thomas Kurian CEO, Google Cloud Few professions are as exacting as the practice of law. A team reviewing a contract or building a case wo…
AI storage infrastructure is becoming a more consequential planning issue as organizations move from model training toward agentic AI. As agents reason, act and reassess, they build longer contexts and generate more data that they must access quickly during inference. Agentic AI is also changing the shape of the data problem. Interactions are growing longer […] The post AI inference gets a new tier as context windows grow appeared first on SiliconANGLE.
“Dear Tyler, I enjoyed reading your notes on visiting Anthropic to advise on Claude’s constitution. Framing AI governance around the common law, case law (“Talmud”), and independent adjudication is a much more adaptive…
On Tuesday, IBM launched the latest family of its open-weight Granite large language models (LLMs). Weighing in at 3 billion, The post IBM’s new Granite 4.2 models add reasoning and stay dense appeared first on The New Stack.
Perplexity releases Portable Computer, packaging local models, harness, sandbox, and connectors into one system running on NVIDIA DGX Spark. The post Perplexity Ships Portable Computer on NVIDIA DGX Spark: Local Harness, OS-Enforced Sandbox, and Zero Per-Token Cost for Local Steps appeared first on MarkTechPost.
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TL;DR — Key Takeaways JetBrains has launched Junie Local, an on-device version of its AI coding agent that runs entirely on supported Macs without cloud inference or token charges. Junie Local uses a JetBrains-tuned, 4-…
Among those charged are two Super Micro employees and one from Nvidia, marking another flashpoint in US-China AI rivalry Taiwanese prosecutors charged nine people Monday, including one from Nvidia and two from Super Micro, for illegally exporting “high-end AI servers” to mainland China, adding another wave of turbulence in the AI rivalry between China and the United States. Prosecutors said the servers involved were graphics processing units known as “B300,” which have been banned from sale to China. Continue reading...
Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally run MCP server lets your agent move from alert to trace to logs to root cause in one conversation, and how you can verify every step inline without leaving your IDE.
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Workspaces in LangSmith lets enterprises separate resources between different teams, business units, or deployment environments.
Query SQL databases using natural language with LLMs. Learn techniques to reduce hallucinations and build reliable text-to-SQL solutions with LangChain.
Build multi-modal RAG apps for slide decks using GPT-4V. Compare approaches, evaluate with benchmarks, and deploy with LangChain templates for visual Q&A.
Learn context engineering: building dynamic systems that provide LLMs the right information, tools, and format to reliably accomplish tasks.
Debug deep agents with LangSmith's tracing and analysis. Analyze complex traces, optimize prompts with Polly, and improve performance.
Build powerful LangChain agents with Structured Tools. Accept multiple inputs, create complex tool schemas, and unlock advanced AI agent capabilities.
Learn how to implement multi-vector retriever for RAG across tables, text, and images. Explore cookbooks for semi-structured and multi-modal data retrieval.
Julian Habekost Aug 25, 2026 Anthropic introduced a watermark into Claude’s output this month, and others have already followed or will soon follow suit. It is actually a little more sophisticated than simply using a ty…
People have been talking to each other for at least 100,000 years, as best we can tell. And in all that time, there has been only one thing in the world that could learn a human language to perfect fluency: a human chil…
Report MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training August 13, 2026 1. Introduction This report is a call to action. Through five intense months of meetings, research, and outreach acro…
One of the stories of the last few weeks has been that AI companies have been scanning books in very large numbers in order to train their models with content guaranteed to have been written before 2002, and thus AI fre…
LangSmith Engine now detects agent issues over 2x better, proposes stronger fixes, supports Slack and Linear workflows, and is available for self-hosted deployments.
Learn how to use agent skills with Deep Agents CLI to build token-efficient AI agents. Discover, load, and execute skills dynamically.