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Exploring Albert $AIT: ChatGPT on steroids 🤖 💉 Our team has switched to using Albert for all our AI needs. Here’s why you should do it too. What Makes Albert Stand Out? 🔹 Solving Complex Math and Logical Questions: Albert excels at tackling intricate math problems and logical queries,...

107,176 Aufrufe • vor 2 Jahren •via X (Twitter)

9 Kommentare

Profilbild von AIT Protocol
AIT Protocolvor 2 Jahren

🔧 Behind the Scenes: Albert's Infrastructure • 256 possible AI Models of the LogicNet (SN35): Albert is powered by LogicNet (SN35), offering robust and diverse AI capabilities. • Crypto Friendly: Albert integrates seamlessly with crypto environments, perfect for users involved in blockchain and cryptocurrency. • Intuitive Interface: The user-friendly design makes navigating and using Albert a breeze.

Profilbild von AIT Protocol
AIT Protocolvor 2 Jahren

This is the end of the Post! Beware of scammers!

Profilbild von STILL K.A.P.O
STILL K.A.P.Ovor 2 Jahren

💯👊🏼

Profilbild von John Paul Mcgrath '💛 DROP' memecoin🔋 🕸🛸
John Paul Mcgrath '💛 DROP' memecoin🔋 🕸🛸vor 2 Jahren

Never got my earned staking , cannot re open staking in coinbase wallet for weeks, Where's my secret reward? Help anyone experience same

Profilbild von Remo
Removor 2 Jahren

🤝

Profilbild von ismailsebaa
ismailsebaavor 2 Jahren

Ait is the best

Profilbild von Harris Trades
Harris Tradesvor 2 Jahren

@CryptoWizardd AIT delivering

Profilbild von 🇺🇦 CryptoDep #StandWithUkraine 🇺🇦
🇺🇦 CryptoDep #StandWithUkraine 🇺🇦vor 2 Jahren

🔥🔥🔥

Profilbild von EverestKJ
EverestKJvor 2 Jahren

Good Summary, Thank You.

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House of ZK

322,999 Aufrufe • vor 1 Jahr

Love OpenClaw but hate the token burn? 💸 Running a 24/7 agent on GPT-4/Claude is overkill. You don't need SOTA reasoning to handle a greeting or a simple lookup. LLMRouter 🩷 OpenClaw The first production-ready, agentic router designed to plug directly into OpenClaw. LLMRouter fully supports Multimodal, Memory-Equipped routing that adapts 100% to your needs—compatible with FREE open-source models. The Logic is Simple:🔹 Simple query → Cheap/Local model 🔹 Complex reasoning → SOTA model (GPT-4/Claude 3.5) 🔹 Multimodal input → Vision/Audio specialized model Why this isn't just a switch: 📉 30–50% drop in inference costs 🧠 Zero loss in response quality 🔓 100% compatible with OpenAI-style APIs 🚀 Deploy in Seconds General Usage: Get the library and serve any model: pip install llmrouter-lib llmrouter serve OpenClaw Native Integration: Want the full agent experience? LLMRouter built a dedicated integration for OpenClaw users: LLMRouter Resources: 🔗 Repo: 📦 PyPI: 🤝 Works with: Route smarter. Train your own. Pay less. More on LLMRouter: Most routers are static if/else. LLMRouter is an intelligent, learning system. 🤖 Agentic & Memory-Aware: Decisions aren't stateless. We use RAG-powered memory to route based on context and history. 👤 Fully Personalized: It learns from your usage patterns via RL feedback loops. 🔬 Research-Grade: Switch between 16+ routing strategies (KNN, SVM, BERT, Graph, RL) with a single flag.

Jiaxuan You

31,451 Aufrufe • vor 6 Monaten

"The future of AI is agentic. That includes browsers!" Imagine having an AI agent in your browser that can help you complete complex tasks, answer your questions, and streamline your workflow. Today I'm thrilled to share a sneak peek at Project Mariner, a cutting-edge research collaboration between Chrome and Google DeepMind, exploring the future of agentic AI within the browser! Building on the power of Gemini 2.0, Mariner envisions AI agents seamlessly guiding users through online tasks, streamlining workflows and enriching browsing experiences. Imagine having an intelligent co-pilot in your browser, anticipating your needs and proactively offering assistance. We're in the early stages of experimentation, focusing on core functionalities like understanding user intent, automating actions, and providing personalized recommendations. This prototype leverages Gemini's advanced natural language understanding and reasoning capabilities to interpret user requests, both typed and spoken. Mariner can then interact with web pages, retrieve information, and even perform actions like filling out forms or navigating to specific sites. For example, a user could simply ask "Find me a job near me," and Mariner would understand the request, navigate to a relevant job search site, and tailor the search based on the user's location and preferences. This is just one example of how we're exploring Gemini 2.0's potential to unlock agentic experiences through a series of prototypes, including: 1. Agents with multimodal reasoning: Project Astra, our research prototype exploring the capabilities of a universal AI assistant, is enhanced by Gemini 2.0. 2. Agents that can help you accomplish complex tasks: Project Mariner itself focuses on the future of human-agent interaction within the browser. 3. Agents for developers: Jules is an experimental AI-powered coding agent that integrates directly into a GitHub workflow. 4. Agents applied across domains: We're exploring agents for navigating video games and even applying Gemini 2.0's spatial reasoning to robotics. We believe that integrating AI agents directly into the browser has the potential to revolutionize how we interact with the web. Project Mariner aims to make browsing more intuitive, efficient, and personalized. By understanding user context and proactively offering assistance, Mariner can simplify complex tasks, save users time, and empower them to achieve more online. This aligns perfectly with the vision of Gemini 2.0 to create more helpful and intuitive AI experiences. We’re currently testing Mariner with a small group of trusted users to gather feedback and refine the user experience. We believe that this technology holds immense potential to transform the way we browse and interact with information online.

Addy Osmani

29,501 Aufrufe • vor 1 Jahr