Discover the new Page Index approach to RAG that skips chunking and embeddings while hitting 98% accuracy. Instead of breaking documents apart, it builds a tree structure for the LLM to navigate like a table of contents. While it solves context loss and handles cross references perfectly, keep an eye on the higher latency and costs. #AI #RAG #MachineLearning #LLM #VectorDatabase #AIResearch #TechTrends #ContextWindow | Eusebiu Ionescu
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From Topic to Methodology | Full Research Proposal Using Jenni AI Access the tool here: http://jenni.ai/?utm_source=youtube&utm_medium=inf&utm_campaign=rizwana&utm_content=febvideo Discount code: RIZ20. #aitools #AIResearch | Dr Rizwana Mustafa
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AGI will not be one giant model. Eve Bodnia, Founder & CEO of Logical Intelligence, explains why the more realistic path to AGI is an ecosystem of systems working together, each doing what it does best. Think of it like a stack: 🗣️ Language models handle communication and interface ⚙️ Energy-based models handle constraint-driven reasoning and fast decision paths 🔗 Other layers coordinate, verify, and adapt over time The next leap in AI may come less from bigger models and more from better orch
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Deep Research on ChatGPT just got a serious upgrade. Now you can connect your apps, search only the specific websites you trust, and actually watch the research happen in real time. Even better, you can interrupt it midway, add new sources, or change direction without starting over. And when it’s done, you get a clean full screen report that feels more like a proper document than a chat reply. Research just became way more interactive and way more powerful. #ChatGPTUpdate #AIResearch #OpenAI #De
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At #FICC2025, Aljoscha Burchardt unpacked how Large Language Models (LLMs) actually work — and why their limitations matter just as much as their capabilities. From training data and reasoning gaps to bias, hallucinations, and accountability, the session offered a clear-eyed look at the realities behind today’s AI systems. As LLMs increasingly influence journalism, research, and public discourse, understanding both their power and their pitfalls is no longer optional — it’s essential. Watch the
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Most AI models guess the next word. This one doesn’t. 🤖🚫 Eve Bodnia, Founder & CEO of Logical Intelligence, explains why energy-based models skip next-token prediction entirely and how that changes everything from speed to efficiency. Instead of guessing, the model sees the solution space and moves directly to the right answer, even when running small models on minimal compute. This is what reasoning without autocomplete actually looks like. 📺 YouTube: https://link.theneurondaily.com/r/EIi7C9
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http://bit.ly/2pAejii In celebration of the 787-10 first delivery, we have created a unique Facebook AR experience to track the flight's path. Check it out! | The Boeing Company
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