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Gemma 4 is here to help you build more flexibly than ever. Key features include: 📏 Model sizes for IoT, mobiles, laptops, workstations and accelerators 🤝 Built for scalable agents 💻 Multimodal edge processing 🔐 Foundation of trust and safety Start building today →

Google for Developers

2,577,884 subscribers

14,008 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

2 条评论

D. Humann 的头像

D. Humann5 个月前

I've been trying it out. It's pretty sweet!

BenUsesAI 的头像

BenUsesAI5 个月前

another model size list that won't fix the fact you're still making devs juggle five different tools instead of one unified agent. i'll believe it when they ship a single prompt that handles edge, mobile, and safety without breaking a sweat.

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Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on Arena.ai — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in Google AI Studio or download the weights on Hugging Face, Kaggle, and ollama.

Today, we’re launching Gemma 4, our most intelligent open models to date. Built with the same breakthrough technology as Gemini 3, Gemma 4 brings advanced reasoning to your personal hardware and devices. Here’s what Gemma 4 unlocks for developers: — Intelligence-per-parameter: Our 31B (Dense) and 26B (MoE) models deliver state-of-the-art performance for their size, outcompeting models 20x their size on Arena.ai — Commercial flexibility: Released under a permissive Apache 2.0 license for complete developer flexibility and digital sovereignty — Agentic workflows: Native support for function-calling and structured JSON output allows you to build reliable, autonomous agents — Multimodal edge AI: The E2B and E4B models bring native vision, audio, and low latency to mobile and IoT devices — Long-context reasoning: Up to 256K context windows allow you to process entire repositories or large documents in a single prompt Whether you're building global applications in 140+ languages or local-first AI code assistants, Gemma 4 is built to be your foundation. Explore in Google AI Studio or download the weights on Hugging Face, Kaggle, and ollama.

Google AI

1,670,724 次观看 • 5 个月前

Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them, featuring three key components: - 🔀 Cross-environment support - agents can operate tasks in 📱 Android and 💻 Ubuntu. - 🕸️ Graph evaluator - provides a fine-grain evaluation metric for agents. - 🤖 Task generation - composes subtasks to automatically generate tasks. By connecting all devices to agents, 🦀CRAB unlocks greater capabilities for human-like tasks than ever before. Use 🦀 CRAB to benchmark your multimodal agents! - 👨‍💻 Check out the repository: - 📝 Read the paper: - 🌐 Find out more via the project page: - 🐫 Join our community:

Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them, featuring three key components: - 🔀 Cross-environment support - agents can operate tasks in 📱 Android and 💻 Ubuntu. - 🕸️ Graph evaluator - provides a fine-grain evaluation metric for agents. - 🤖 Task generation - composes subtasks to automatically generate tasks. By connecting all devices to agents, 🦀CRAB unlocks greater capabilities for human-like tasks than ever before. Use 🦀 CRAB to benchmark your multimodal agents! - 👨‍💻 Check out the repository: - 📝 Read the paper: - 🌐 Find out more via the project page: - 🐫 Join our community:

CAMEL-AI.org

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Today we’re launching Copilot Pro, a new subscription for individuals looking to supercharge their productivity and creativity. Key features include priority access to the latest models, enhanced AI image creation and the ability to build your own Copilot GPT, among others. We're also expanding Copilot for Microsoft 365 to businesses of all sizes, launching Copilot GPTs, and the Copilot app for iOS and Android phones is now generally available. Details here:

Today we’re launching Copilot Pro, a new subscription for individuals looking to supercharge their productivity and creativity. Key features include priority access to the latest models, enhanced AI image creation and the ability to build your own Copilot GPT, among others. We're also expanding Copilot for Microsoft 365 to businesses of all sizes, launching Copilot GPTs, and the Copilot app for iOS and Android phones is now generally available. Details here:

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222,859 次观看 • 2 年前

AI’s trust problem ends today. We're thrilled to launch two new services, EigenCompute and EigenAI on EigenCloud. A new foundation for building truly verifiable apps and agents. One of the biggest upgrades to AI since the launch of GPTs. More 🧵 ↓

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1,230,011 次观看 • 11 个月前

We raised $125M to build the platform for agent engineering. Thank you to our investors (IVP, Sequoia Capital, Benchmark, Amplify Partners, Sapphire Ventures, CapitalG, and more) for their belief in us, and to our customers like Replit ⠕, Clay, Vanta, Cloudflare, Rippling, Cisco, Workday, and many more for their trust. Read more here about what this means for the future of building agents:

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LangChain

159,701 次观看 • 11 个月前

How we got here, today, and where the UAP/UFO conversation currently is; it all stems from these beginning days. The foundation all this was built on and the chain of events that paved the way for it all to happen is more important to understand than ever.

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John Greenewald, Jr.

28,556 次观看 • 3 年前

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21,863 次观看 • 1 年前

Cursor just made AI-powered buildings more accessible for developers in India. A new India-only plan at ₹649/month gives you access to Cursor’s AI coding agents, including Grok 4.5, a powerful model built to help you ship faster. Describe what you want. Cursor helps you build it. Code from desktop, web, mobile, or CLI. Start building →

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QVAC

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At DevCon 6, Palantir Software Engineer Ankit Shankar unveils the Agent Stack, a set of products to help you build production agents for the enterprise, all built on the Ontology. ▪️Orchestrator for durable execution ▪️Agent Engine and Agent SDK for building agents of any shape ▪️Agent Manager for actionable telemetry and observability ▪️AIP Evolve for continuous, end-to-end optimization

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Today we’re launching Dispatch’s fleet management tools — built to make sharing EVs easier than ever. If you’ve got multiple Teslas, you’ll love: 🧭 A unified map view (even across accounts) 🔐 Scheduled access (grant & revoke) ⚡ Quick Supercharging receipt exports … and more. The marketplace is coming. But for now, start here:

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47,064 次观看 • 1 年前

‘Our ironclad commitment to stand with Ukraine… We’ll help build military hubs and defend Ukraine’s skies… This is about building the foundations for peace.’ Keir Starmer says any deal must include firm guarantees, not blind trust, after Russia’s latest bombing of Kyiv.

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38,289 次观看 • 8 个月前

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35,123 次观看 • 2 年前

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15,658 次观看 • 1 年前