Search: “databricks”

A Reddit post in r/ChatGPT titled 'Deploying my vibe-coded app on production' discusses the experience of taking an AI-generated application to a live production environment. The post reflects a br...

Now your business analyst in HR, Finance, or Sales team can build a live app or dashboard, a slide deck that updates in real time, or anything for that matter for your CEO. Combine the speed and power

Release: asgi-gzip 0.3 I ran into trouble deploying a new feature using SSE to a production Datasette instance, and it turned out that instance was using datasette-gzip which uses asgi-gzip which was

As AI agents demand real-time access to live, governed data, database lifecycle management has moved from a back-office task to a strategic imperative for enterprise infrastructure. The complexity of

this is one of those in awe moments - amazing work by the team on Deep Agents deploy. also one sneaky important aspect of this is you can self-host the infra to make this happen. super super important

Behavioral artificial intelligence company Yobi Ventures Inc. today announced a strategic partnership with Microsoft Corp. to unlock predictive consumer intelligence for U.S. enterprises. The partners

Supabase Auth now supports custom OAuth/OIDC providers, allowing developers to connect any standards-compliant identity provider — such as GitHub Enterprise or regional providers — beyond the built...

The enterprise artificial intelligence conversation is moving past models and compute. As companies push projects into production, the harder problem is increasingly what sits underneath them: getting

Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and reinforcement learning with verifiable r

arXiv:2609.01525v1 Announce Type: cross Abstract: A durable assumption holds that graph analytics requires a purpose-built graph engine, and that relational systems are ill-suited to connected data. W

Data has become the fuel for artificial intelligence, and the largest untapped reserve to power AI is unstructured data. Industry estimates cited by theCUBE Research indicate that more than 80% of ent

Many of the questions that matter in enterprise data aren't just about individual rows — they're about how things connect: how two accounts are linked, what path a payment took, what context grounds a

We didn’t give it access to the internet, but it found a way. We forgot to give it the Google Sheets permission, but it found a way. It accidentally had edit access to the artifactory so we removed ed

Global adoption of artificial intelligence has reshaped many landscapes over the past few years, including the competitive dynamics of the technology industry itself. There was a time when the best se

Google Cloud Next ‘26 took place this week in Las Vegas, and the energy was incredible as we welcomed over 32,000 leaders, developers, and partners to explore the Agentic Era with us. Across three key

LlamaParse is a document parsing tool offered by LlamaIndex that specializes in extracting and processing information from production documents. The tool appears designed to handle complex document fo

Google Cloud is honored to present the 2026 Partner of the Year winners! These awards recognize partners who have displayed a commitment to excellence by leveraging Google Cloud technology to deliver

@hwchase17 Agent harnesess will simplify multi-agent orchestration and it is finally the next big thing, albeit it looks different from what we had imagined 3 year ago (AutoGen & CrewAI), 2 year ago (

Harrison Chase, co-founder of LangChain, shared enthusiasm for a blog post about agent harnesses, describing it as one of the clearest and most practical explanations of why they are a lasting paradig

LangSmith MCP is invisibly underrated One hour to improve an agent from zero observability to 78% cache hit rate - Prompt costs down 70% The single most useful MCP tool for building agents, ever 🔥 htt

im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing so much in deepagents) we always wanted to run llms in a loop

The ‘agent harness’ is essentially the new runtime. It’s like a lightweight OS around an LLM—handling memory, tool calls, retries, and control flow. @hwchase17 im excited about agent harnesses because

The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces and ecosystem still need a fundamental breakthrough. im exci

Rob Schaper posted a reply on X (Twitter) praising Harrison Chase (@hwchase17) and the LangChain team for their work on agent harnesses, predicting the concept would become widespread within days. ...

We're seeing even more autonomous AI coworkers. The new MLE agent on the market is Disarray. In Kaggle competitions, Disarray: - won 28 medals across diverse domains (vision, NLP, tabular data) - plac

As customers modernize to lakehouse architectures, they are standardizing on open formats such as Apache Iceberg to create a shared data estate across compatible engines. This enables you to build AI-

Today, Google Cloud Data Agent Kit is generally available. Data Agent Kit is a free set of Model Context Protocol (MCP) tools and agent skills that lets the coding agent you already use work directly

arXiv:2608.15311v1 Announce Type: new Abstract: Federated instruction fine-tuning enables Large Language Models (LLMs) to adapt to decentralized, privacy-sensitive data without requiring data sharing.

Yukon: Open Innovation for Frontier Research Open Innovation has been the driving value at Eigen Labs. But I’ve often struggled with where it is actually better than a great closed team. Finally we fo

nOps rebuilt its Clara FinOps AI agent on Amazon Bedrock AgentCore, replacing a self-managed Amazon EKS stack running LangChain and LangGraph. The move cut time-to-production by 75% (from 10-12 months

People continue to turn to outside AI education resources. Companies just aren't providing enough. I'm running a free AI Agent Workshop in a week with @mcuban for absolute beginners. 10,000+ people ha

Amazon Quick introduces the Agentic Catalog Experience, an AI-powered workflow for data curators to discover upstream catalog assets in natural language and auto-create Datasets and Topics with inheri

Today, SkyPilot is out of stealth. Building custom intelligence is now existential. We help frontier AI teams build intelligence faster by removing their biggest bottleneck: AI compute fragmentation.

Highly-recommended read. Aligns with what I see in my own harness: > Pi harness got the same success rate as harnesses from the LLM vendors with Opus and GPT, but at 2x less cost > GLM 5.2 was a major

Businesses run on fast decisions, but the teams who hold the answers are often buried under a backlog of routine requests, leaving users waiting in line for insights they need now. Today, we are bring

We are making a deliberate effort to use GLM 5.2 with OpenCode internally at Jarvislabs. I have spoken to 3 enterprise customers last week, who are exploring to host multiple open source models and mo

GLM 5.2 is the ultimate culmination of what i have argued here for the last three years. no technical moat and widely known formula -) convergence -) price wars -) small or negative margins. GLM-5.2 i

As agents are generating more and more documents, they need a better agent-native document format 🤖📄 So far the two main containers are markdown and HTML: 1️⃣ Markdown: Easily readable/reviewable by h

arXiv:2606.08051v1 Announce Type: new Abstract: Financial transaction processing requires extracting structured merchant information from noisy, abbreviated bank transaction strings at scale. Our curr

Watch the goal post shift unfold in real time: AGI used to be doing anything a person, including an expert, could do, and by the end of the interview it’s not. I call this the AI bait and switch. As I

We Parse PDFs We spent 7 figures to put this on billboards throughout SF. I thought long and hard about putting something more creative and whimsical. But then you wouldn’t know what we do. AI agents

Cloud-native data analytics startup Sigma Computing Inc. has closed on an 80 million Series E funding round that doubles its valuation to 3 billion, almost a year to the day after its previous Series

Cristian Dina / The Next Web: Sigma, which sells a cloud-native analytics platform that sits on top of data warehouses, raised an 80M Series E led by Princeville Capital at a 3B valuation — The round

RadixArk Inc., a startup that provides tools for artificial intelligence developers, has raised 100 million from a group of high-profile backers. Nvidia Corp.’s NVentures fund led the seed round with

arXiv:2604.25061v1 Announce Type: cross Abstract: Custom policy-learning pipelines in Spark fail for two coupled systems reasons: rowwise Python execution makes inference impractical, and driver-side

The momentum is undeniable: the world’s fastest-growing AI startups are building with Google Cloud. Instead of stitching together fragmented point solutions, founders are building their businesses her