搜索“RAG”

clarifying questions. Research, writing, and styling Grok can help you improve styling, tighten slide narratives, and even search for up-to-date information from the web. The add-in is also able to leverage your Grok connectors - ask it to write slides based on recent emails, or files in your SharePoint or Google Drive. Grok for PowerPoint is a free Microsoft 365 add-in. Add it from the Microsoft Marketplace , and work directly with Grok in your presentations. Also available for Word and Excel .

匹配字段正文

high drafting cost. The key insight of DFlash is simple: the target LLM knows the context best. Inspired by previous methods like Medusa, EAGLE and MTP (Gloeckle et al., 2024; Samragh et al., 2025), we extract hidden representations of the context tokens from the target model. Unlike previous work, we inject them directly into the draft model’s KV cache. This scales better with increased draft depth. KV injection also allows the draft model to skip modeling the full context from scratch and foc

匹配字段正文

s in parallel, each with web search and web fetch enabled. A judge model reads every panel response and produces structured analysis: consensus points, contradictions, partial coverage, unique insights, blind spots. The calling model then writes the final answer grounded in that analysis. The whole pipeline runs server-side so it can be called just like you would an individual model. Call Fusion directly with a single model slug: Or customize the panel: We chose DRACO to test reasoning, tool cal

匹配字段正文

s in parallel, each with web search and web fetch enabled. A judge model reads every panel response and produces structured analysis: consensus points, contradictions, partial coverage, unique insights, blind spots. The calling model then writes the final answer grounded in that analysis. The whole pipeline runs server-side so it can be called just like you would an individual model. Call Fusion directly with a single model slug: Or customize the panel: We chose DRACO to test reasoning, tool cal

匹配字段正文

nto an inherent dilemma similar to that of recurrent models such as Mamba: it has state, but cannot look back on demand. What we need is not better compression, but an explicit storage-and-retrieval mechanism that decides what information should be written into persistent structures, and when it should be recalled. Second, even if the context window is large enough, a model's instruction-following ability declines as input length grows. Useful constraints and intentions are diluted by large volu

匹配字段正文

s our enterprise customers how long their Devin tasks would have taken by hand. No single estimate is perfect, but across many tasks with varying complexity, the highs and lows average out. This produces an estimate of engineering productivity from agents — hours of useful output. It does not replace measuring ROI, which requires deeper context on the business value of each task. At Cognition, our customer-facing teams collaborate directly with enterprises to understand the full ROI impact of th

匹配字段正文

prompt Claude to think of the workflows in the skill as a template instead of a script that needs to be run verbatim. Workflows are a helpful new way to extend Claude Code. I encourage you to think of them as a starting point to explore new ways to use Claude to help accomplish your tasks. There is still much to discover in how to use them best. Let me know what you find. For principles on what belongs in a harness in the first place, see our three harness design patterns for building with Claud

匹配字段正文

wers and simple everyday tasks; Pro, $14.99/month: complex tasks, deeper reasoning, and all-day coding; Team, $24.99/user/month: a shared workspace with admin controls and more storage; Enterprise: custom deployments, model training, and dedicated solutioning See Vibe’s plans to learn more. For code, Vibe is on the web at chat.mistral.ai/code, in VS Code through the new extension, and in your terminal with the CLI: You can also build through the API in Mistral Studio, with the free Experiment pl

匹配字段正文

g today, work with an agent that is built for Figma—directly on the canvas.Inside Figma; Product updates; Figma agent; Figma Design; AI; Design systems; Design; News; Build with more context and more control in Figma MakeApril 2, 2026By Ben Smit, Darragh BurkeStarting today, Make kits and Make attachments bring context into Figma Make, so prototypes start from real components, data, and constraints.Inside Figma; Product updates; Figma Make; AI; News; Prototyping Create and collaborate with Figma

匹配字段正文

they can run a single query against their own data. Measuring whether the retriever is returning the right results often requires yet another toolchain. For organisations building RAG workflows or internal knowledge systems, that overhead multiplies at every layer. Where it fits. Enterprise search. Most organisations don't have a search problem. They have a dozen search problems. Internal wikis, support ticket systems, document repositories, file storage, codebases. Each source has different str

匹配字段正文

data in 2026, and deliver both Markdown and HTML versions.” A single Agent might finish this smoothly, like a coworker sitting next to the user. When the user asks “polish this paragraph”, it can edit immediately; when the user says “format is off here”, it confirms right away. But a few problems show up: 1) if the user does not command it, the Agent stops and the user has to keep telling it to “confirm” or “keep going”. A single Agent stops at moments the user does not expect Users often see a

匹配字段正文

On-call engineers are often unable to contribute meaningfully to feature development during their rotation, and in small, fast-moving teams, the operational load becomes a direct drag on engineering velocity. Even with modern observability tooling, incident response still requires engineers to reconstruct operational context under pressure: correlating deploys, searching Slack threads, checking dashboards, identifying ownership, and rediscovering previous incidents. When an alert fires, engineer

匹配字段正文

tests, refactoring, identifying inefficiencies, bugs or vulnerabilities. Prerequisites 1 - Create a connector for a public remote MCP To query and explore code bases, we will leverage the DeepWiki remote server which provides an MCP interface to API/tool endpoint. This way the agent can explore the content and documentation without scraping docs manually or loading whole repos. Registering the MCP server once allows users to reuse it across conversations, agents, or direct tool calls. This is t

匹配字段正文

the end of May. The black line shows observed hospital admissions. Right : The ranking of different models shows that Google’s forecasts ( blue ) performed the best for season-averaged accuracy in all three respiratory viruses. CDC’s ensemble forecasts (striped bars) are given a relative Weighted Interval Score of 1. Other research groups’ forecasts are solid red bars (only the best-performing models are shown). Atmospheric CO 2 concentration over southern California on Oct. 18, 2024. The Orbit

匹配字段正文

the search box redesign may prove to be the most consequential. It is the clearest signal yet that Google views the future of its flagship product not as a place where users type fragmented keywords, but as an interface where they hold open-ended, multimodal conversations with an AI system backed by the entire web. The changes show a fundamental shift in how Google expects people to interact with the product that generates the vast majority of Alphabet's revenue. The box itself now dynamically e

匹配字段正文

ready being used by a range of partners in private preview to drive real-world impact. Companies like BASF are using AlphaEvolve to optimize their supply chains, and Klarna is leveraging it to enhance their machine learning models. In parallel, organizations like Daiichi Sankyo, Bayer Crop Science and the U.S. National Labs (as part of the U.S. Department of Energy's Genesis Mission ) are using Co-Scientist to accelerate their research and tackle fundamental scientific challenges. These enterpri

匹配字段正文

ties of the real world. Today, we’re launching this new Street View grounding capability within Project Genie, our experimental prototype. With this upgrade, you'll be able to leverage real-world imagery to explore your favorite spots, or reimagine them with a creative twist. We’re also expanding access to Project Genie to more people around the globe. Select the “Ocean World” style to scuba dive with schools of fish around places grounded in the real world. Street View: ground your worlds in re

匹配字段正文

monitors workflows autonomously on Managed Agents and Daytona. Modal is a cloud platform built for AI workloads, where sandboxes share the same foundation as Modal's functions, storage, and networking primitives, giving you everything you need to build production AI systems. Modal's custom container runtime delivers sub-second startup on any image, scales to hundreds of thousands of concurrent sandboxes, and gives you CPU and GPU resources on demand. Vercel sandboxes combine VM security, VPC pee

匹配字段正文

rect until the output is good enough, without a human needing to review each attempt. Outcomes is particularly useful for tasks that require attention to detail and exhaustive coverage. It also works for subjective quality, like whether copy matches a brand voice or a design follows visual guidelines. In testing, outcomes improved task success by up to 10 points over a standard prompting loop, with the largest gains on the hardest problems. Outcomes also improved file generation quality, with +8

匹配字段正文

s evolution: The number of available tools, DB size, and gold steps required to solve the task all increase monotonically, resulting in a clean inverse relationship between the average solve rate and the difficulty tier. Since we used GPT-5-Mini for difficulty calibration, its solve rates fall exactly within the target bands. We can see that the difficulty ladder generalizes to stronger models such as GLM-5.1 which also has lower solve rates in higher difficulty tiers, despite not having been ex

匹配字段正文