搜索“Agent”

realistic or cost-effective. The Rundown: 56% of consumers can spot AI-generated content. 40% say it's eroding their trust in your brand. To solve this, Corinthia Hotels built a 7-agent AI ecosystem to execute personalization across 5 personas, 14 lifestyle stages, over 75 behavioural signals, and 6,000+ content variants without sacrificing brand standards. Join Optimizely’s upcoming webinar on Oct. 7th to: Hear how they hit a 100% brand approval rate, achieved 10x productivity, and saved 150+ h

匹配字段正文

hatsApp. At the same time, businesses with conventional phone numbers often have years of call flows already built on Twilio. Both groups kept asking us the same question: can our agent answer there, without rebuilding our telephony around a SIP trunk? Today the answer is yes. We're launching LiveKit Connectors, a direct bridge between LiveKit rooms and the platforms people already call — Twilio Programmable Voice and WhatsApp Business Calling to start, with more on the way. A connector brings t

匹配字段正文

ai and ml Making installation easier and putting a new wrapper on the interface while leaving most of the security to users is a recipe for more trouble with the popular agent harness MOST POPULAR Anthropic asks users to stop being mean to Claude; '123456' password linked to Denmark data breach affecting 8.8M people; Intel optimizes IPv6 networking into nothingness, say users; When you just need to build a tiny desktop app: TinyJS; No shame in the Domain Name game: DNS is doomed, literally OpenC

匹配字段正文

ew pricing anytime in your Ollama account settings. Every plan includes: High-performance access to the latest open models, at published per-token rates; Works with popular coding agents, including Claude Code and Codex, plus an API for your own tools; Monthly usage credits included with every plan; Zero data retention, hosted in the US and Europe; No service fees or hidden limits New plans Ollama’s new Pro, Max, and Team plans include a pool of usage credits that refreshes every month. Usage is

匹配字段正文

Prepare your wallets! Grok Bot can now buy things. Excited to bring more superpowers to @bot to help you do all the things on your todo list (and on an personal note very full circle moment for me going from agentic commerce @stripe -- building payments into Grok Bot! very fun working with the Stripe team on this.)

匹配字段正文

We’re opening a research preview of the Model Hardware Standard (MHS), a shared specification for AI agents to safely operate physical devices, to a first group of scientific research labs and advanced manufacturers. MHS enables AI agents to operate multiple lab and manufacturing instruments, such as microscopes, liquid handlers, and robotic arms, in parallel, and perform intricate tasks ranging from routine drug discovery experiments to laser calibration on a quantum computer. The development o

匹配字段正文

stack, context-rich apps that combine live Databricks warehouse data with information created and updated through the app. When an app built with Replit is ready to deploy, Replit Agent automatically provisions its Lakebase database, eliminating the need for manual setup. Automated Preview Deploys: Test your apps before they go live. Replit automatically creates a separate preview environment that keeps test data isolated from live business data in Databricks, giving teams a safe place to build,

匹配字段正文

arch.text'); sessionStorage.removeItem('facets.search.text-copy'); sessionStorage.removeItem('facets.search.filters'); Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding Qwen3.8-Flash-Next is a multimodal mixture-of-experts model with 125B parameters, 6B activated per token, and a native 262,144-token context window extensible to 1M tokens with YaRN. The architecture combines Gated DeltaNet and Qwen Sparse Attention, where three of every four layers use GDN to compress h

匹配字段正文

ption is changing specific model weights or activations and observing how that affects the model’s output. Silico combines a broad range of these tools, and provides a layer of AI agents to help users understand their model. Users describe what they want to investigate about their AI model in plain language, asking things like ”Find out when and why my model is hallucinating.” The platform then autonomously builds an experimental plan involving a host of tasks that can be performed using the var

匹配字段正文

skips images, say: “Use photos in this artifact” Pro tip: “Static site” is the keyword for portfolios, landing pages, and mockups. It keeps the complexity way down for you and the agent. The Rundown: Scribe Optimize automatically maps how work actually happens across your org — so before you build an AI strategy, you're working from reality, not assumptions. With Scribe Optimize, you can: Map real workflows — no surveys or consultants Surface inefficiencies leadership can't currently see Build y

匹配字段正文

Today, we’re excited to announce that Grok 4.6 is now available on Microsoft Foundry. Grok 4.6 is our latest flagship model, built for long-running agents and ambitious interactive and visual work. It offers a 500k context window and configurable reasoning efforts (low, medium, high, xhigh). For more on the model, read the Grok 4.6 announcement . Build with Grok 4.6 on Microsoft Foundry Foundry gives organizations a single place to evaluate Grok 4.6 against other frontier models, run workload-sp

匹配字段正文

ast year, so we could test it while also shoring up our defenses against prompt injection : malicious instructions hidden in websites, emails, or documents that try to trick an AI agent into acting against the user’s wishes. These defenses, described below, give us the confidence to make Claude in Chrome generally available. Safeguarding against prompt injection As we outlined when we announced the pilot, an AI agent that works in your browser is also vulnerable to prompt injection. So we’ve wor

匹配字段正文

laude uses the built-in browser. Switch anytime in Settings → Cowork → Preferred browser. Staying in control The built-in browser carries the same prompt injection risks as any AI agent that acts in a browser, where instructions hidden in a page try to redirect Claude. It runs the same safeguards as Claude in Chrome, including the checks that review Claude's actions against what you asked for. We describe them on the Claude in Chrome blog post . Those measures meaningfully reduce the risk but ca

匹配字段正文

, separate from your Grok and Cursor plans, so anything you hand off to a Bot won't count against your existing usage. Give Bots real work Grok Bot is designed for people who want agents to handle anything from a project to an entire function. They're digital teammates you can message, run in parallel, and trust to finish work in the tools you already use. Bots work across apps and inboxes, keep going when you step away, and only pull you in for judgment calls. With Grok Bot, you get: A text-thr

匹配字段正文

OpenWorker -- an open source agent that doesn't just chat but completes tasks on your laptop -- just released a new version with many features for security workflows. After our initial release, many users found it especially useful for cybersecurity. Attackers are already using AI; OpenWorker is committed to giving defenders the same leverage. Running an agent requires both (i) A model and (ii) A harness (the software around the model). Because the OpenWorker harness is fully open source, securi

匹配字段正文

LPX, measuring a world-class interactivity of 3,431 output tokens/second. The technologies that power this performance unlock the ability of the Vera Rubin platform to serve multiagent systems powered by 2T+ parameter models with high interactivity and long context, through pairing Groq 3 LPX with Vera Rubin NVL72. Agentic sessions are characterized by multiturn inference. At the end of each turn, the agent’s output is appended to the continually growing context that is fed into all subsequent

匹配字段正文

cross-node daemon coordination, lifecycle management, and failover; Weight update without reload: in-place weight refresh for RL / online updates, with the daemon as the delivery agent; Cross-GPU & fleet sharing: peer-copy and fleet-fill so a cluster cold start pays roughly one disk read per shard group; KV cache restore: preserve and remap KV cache across restarts / failover (KV reuse, handoff to standby) so in-flight context survives recovery instead of being recomputed from scratch; Rest of

匹配字段正文

Today, we’re excited to announce that Grok 4.6 is now generally available on Amazon Bedrock. Grok 4.6 is our latest flagship model, built for long-running agents and ambitious interactive and visual work. It offers 500k context window and configurable reasoning efforts (low, medium, high, xhigh). Now, Amazon Bedrock users can leverage the model through Amazon Bedrock. Capabilities & Pricing Grok 4.6 is available for: Input : $2 per 1 million tokens Cached input : $0.50 per 1 million tokens Outpu

匹配字段正文

Your agent runs local ComfyUI and builds workflows around your GPU, your models, and your custom nodes. Works from Claude, Cursor, Codex, or any MCP client. Today, Comfy MCP runs on your own machine. Connect Claude, Codex, Cursor, or any other agent to the ComfyUI installed on your local setup. This is the number one thing you asked for after Cloud MCP shipped in June, and the MCP server is fully open source. Comfy MCP is now one MCP with both local and cloud. Everything the Cloud MCP connection

匹配字段正文

Contents The Miles RL Loop; Rollout; Fast Agentic Rollout by SGLang; Fully Async RL; Agentic Environments; Token-In-Token-Out (TITO); Efficient Rollout Routing Replay (R3); Training; Low-precision Training; Memory Efficiency & Disk Offload; Two Training Backends; Weight Update; Verified Day-0 Model Support; Other Post-Training Recipes; LoRA RL; On-Policy Distillation (OPD); Zero-KL Alignment; Code Quality Principle; Miles-Diffusion; Multi-Hardware Support; Example: Training GLM-5.2 on Terminal-U

匹配字段正文