We are back in the office this week and having more fun with Ai this week... check out the sketch to renders. Some got close, some not so close.
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We are back in the office this week and having more fun with Ai this week... check out the sketch to renders. Some got close, some not so close.
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Building and maintaining agents in production is tough, and trial and error is often the name of the game. Even after you launch, unexpected performance issues can send you back to the drawing board. In this blog, Sally-Ann DeLucia pulls back the curtain on how we iterate and improve our AI Assistant, Copilot. Learn how we used Arize and Phoenix to: ✔️ Identify and resolve issues in production ✔️ Iterate workflows with precision ✔️ Build a process that scales https://lnkd.in/gCXVKVEK
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Revolutionizing web navigation: world models are the game-changer AI agents need for smarter decision-making! A recent study explores integrating world models into web agents, enhancing their decision-making capabilities. Key takeaways: 1. Improved Performance: World-model-augmented (WMA) agents outperform traditional models, achieving state-of-the-art results. 2. Efficient Action Selection: Enhanced prediction allows for more informed decisions. 3. Future Foundations: This research paves the way for more sophisticated autonomous agents. As web interactions evolve, these insights will play a crucial role in shaping the future of AI-driven navigation.
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Is OpenAI’s o1 (Strawberry 🍓 ) Really What We Hoped For? 🔍 We’re paying for ‘reasoning’ we can’t even see—o1 charges for tokens spent on hidden processes. While it’s not transparent, o1 is a significant step toward AGI, with competitors like Google racing to catch up. How does this shift toward reasoning-based AI truly differ from previous models, and what does it mean for the future of AI development? Should you already be adopting this new model? 🎙️ Tune into our latest episode where we break down the real potential of O1: https://lnkd.in/dAX67wsk Miguel Neves Gabriel Gonçalves Clara Moreira Gadelho
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🎁 On the 4th day of Shipmas, Spot AI gave to me... an improved navigation menu! Quickly access what you need with Spot AI’s new Navigation Bar. Here's how it works: - The new navigation bar has been reorganized into four overarching categories: Monitor, Investigate, AI Agents, and Admin - Quickly access the sub-menu for each category by hovering over the top level link - On a mobile phone? You’ll see the same navigation! Watch as Igor on our engineering team walks you through how to use our new navigation menu.
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I'm excited to share that I’ve just completed a short course on building LLMs-powered applications! 🚀 Previously, I worked with one-shot RAG systems to create efficient retrieval-based solutions. Now, I’m diving into multi-agent architectures to tackle more complex, collaborative tasks. 💡 The journey into exploring AI frameworks and task automation has been advantageous, and I’m thrilled about the possibilities ahead in generative AI applications. #AIFrameworks #MultiAgentSystems #GenerativeAI #RAG #TaskAutomation
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Over the last 2 years we completed many projects with Neva XR for TOGG. Here's a case study of one of those great projects👇
Do you sometimes feel your car is boring? We have done something very cool for that!👇 Rightsoft transformed your TOGG car into an interactive photo booth! With the power of AI, you can now transport yourself anywhere and become anyone you want to be. Check out a brief overview of this exciting project below, and visit our case study page for more details. https://lnkd.in/dbJVeDgA
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Very cool and simple course how to get AI agents running within minutes.
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Ever wonder how your favorite AI apps crunch numbers like a pro athlete? 🏋️♂️ Dive into the world of WebGPU Matmul kernels, where 1 TFLOP speeds turn complex calculations into a breeze. Imagine AI helping your smart fridge decide on the best snack or your car's AI predicting traffic with precision—all thanks to optimized kernels! Get a taste of the power behind the magic and see why the future is faster than you think! Check it out: [link]
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Welcome, Llama 3.2, to Vertex AI! Here's what you need to know about Meta’s new generation of models now on Vertex AI Model Garden: - Llama 3.2 features two multimodal models (11B and 90B), enabling you to reason on high-resolution images. - Llama 3.2 also features two lightweight, text-only models (1B and 3B) designed for mobile and edge devices. - When building with Llama 3.2 on Vertex AI, you get easy access, robust developer tools, pay-as-you-go pricing, and fully managed infrastructure to deploy with confidence. Learn more → https://goo.gle/4gPf1jY
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