A new open-source multimodal Model LLM has been launched, offering performance comparable to GPT-4o and Gemini 2.0. BAGEL, the open-source Unified Multimodal Model, can be fine-tuned, distilled, and deployed anywhere. It provides functionality similar to proprietary systems like GPT-4o and Gemini 2.0 in an open format. BAGEL unlocks valuable image generation through a natively multimodal architecture, delivering precise, accurate, and photorealistic outputs. For more information, you can visit their website: [BAGEL AI](https://bagel-ai.org/)
BAGEL: An open-source multimodal model like GPT-4o and Gemini 2.0
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Most enterprises hold valuable data that remains invisible, unreliable, and unused. In our latest blog post, Srijith Vijayamohan, Director, Engineering, explains how organizations can transform hidden data into a strategic moat that fuels GenAI performance, safeguards trust, and creates lasting business value. Learn more: https://lnkd.in/g_Ex6FAK
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For over a decade, we’ve been calling data the new oil. And yet - many enterprises is not using that oil to fuel up the growth. - We insure buildings. - We depreciate machines. - We even account for goodwill. But the single biggest driver of enterprise value - data - still doesn’t appear on the balance sheet. Companies spend millions refining data into insights. But in financial reporting, it’s treated as… nothing. A decade later, the uncomfortable truth is this: 👉 We know data is the real asset. 👉 We say it drives value. 👉 But we still don’t treat it like one. In my latest blog, I dig into: 🔍 Why this gap persists 🧩 What it means for leaders 🚀 And how to start fixing it ❓ The real question is: What does it say about leadership when the most valuable asset still doesn’t make it to the balance sheet?
Most enterprises hold valuable data that remains invisible, unreliable, and unused. In our latest blog post, Srijith Vijayamohan, Director, Engineering, explains how organizations can transform hidden data into a strategic moat that fuels GenAI performance, safeguards trust, and creates lasting business value. Learn more: https://lnkd.in/g_Ex6FAK
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Random GEOINT rant : Collaboration across industry, government, and academia is key to developing interoperable, cloud-based platforms for speed, accuracy, and accessibility, ensuring GEOINT supports national security and global understanding. The future of GEOINT is patterns, and we must embrace automated, AI-driven workflows that detect anomalies, predict trends, and deliver actionable intelligence in real time. Let’s commit to embracing the future of patterns, ensuring GEOINT remains a cornerstone of understanding in an increasingly complex world.
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Recall the demonstration I conducted wherein a webpage was dynamically generated based on your query within an internet simulation? Anthropic has advanced this concept, enabling the generation of entire programs, contingent upon subscription access. Although these programs do not perfectly replicate the originals, they closely approximate them as much as large language models can align with web technologies of yore. #InternetInnovation #AIAdvancements #DigitalRecreation #NostalgicWeb Source: https://claude.ai/imagine/
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⚙️ Part 2 – Inside Naylence: How Agents, Nodes, and Sentinels Weave the Fabric If Part 1 was the why, Part 2 is the how. Here, we dive under the hood of the Naylence architecture — exploring the building blocks of the fabric: 🧠 Agents → the intelligent actors 🌐 Nodes → the execution hosts 🛰 Sentinels → the routers, gateways, and guardians of trust Together, they form a living, distributed mesh where agents can talk, cooperate, and scale. Read Part 2 → https://lnkd.in/gmCVxtX6 #AI #DistributedSystems #AgentArchitecture #OpenSource #AgenticFabric
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Metadata is not an afterthought, it’s the foundation of intelligent systems. With the release of 1.0, Gravitino unifies governance, scale, and AI-native design, making it a cornerstone for enterprises. 🔗 https://lnkd.in/g_iF4Vja
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