[#Article] How AI2 Democratizes LLM Research with OLMo (Open Language Model) https://actuia.com/actualite/comment-ai2-democratise-la-recherche-sur-les-llm-avec-olmo-open-language-model/
… #AI #artificialintelligence
RESEARCH
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AI2 Democratizes LLM Research with OLMo
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Generative AI’s dual impact: energy consumption versus climate solutions
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Examine the dual role of #GenerativeAI in the #climate crisis, where its significant #energy consumption raises concerns, yet its potential to drive #innovative #solutions in energy management, #renewable systems design, and carbon capture.
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Uncanny Valley: AI Advancements and Psychological Anxieties
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The Uncanny Valley: Advancements And Anxieties Of AI Exploring the psychological phenomenon of the #uncanny #valley in the age of #AI, this article delves into the advancements and #anxieties surrounding #lifelike #robots and #digital #avatars
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Stanford and Stability AI Launch CheXagent for Chest X-Ray Analysis
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Stanford University and Stability AI introduced CheXagent, a new AI model for automated Chest X-Ray interpretation.
— Rowan Cheung (@rowancheung) 7 février 2024
The medical AI innovations continue to roll in. pic.twitter.com/eGpP0Md9vvStanford University and Stability AI introduced CheXagent, a new AI model for automated Chest X-Ray interpretation. The medical AI innovations continue to roll in.
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Carnegie Mellon and ETH Zurich Advance Fast Robot Navigation
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Researchers at Carnegie Melon and ETH Zurich are helping robots be agile, fast, and safe.
— Rowan Cheung (@rowancheung) 7 février 2024
A new framework allows for navigation of cluttered spaces at speeds of nearly 7 MPH without collisions.
An important skillset as robotic tasks become more complex. pic.twitter.com/hiiucIaxyvResearchers at Carnegie Melon and ETH Zurich are helping robots be agile, fast, and safe. A new framework allows for navigation of cluttered spaces at speeds of nearly 7 MPH without collisions. An important skillset as robotic tasks become more complex.
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AI Contest Reveals 2,000 Characters from Ancient Vesuvius Scrolls
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A $1M contest worked to extract text from scans of charred scrolls buried by Mt. Vesuvius' eruption in 79 A.D. The winning AI algorithm revealed over 2,000 readable characters! Tech like this is going to uncover/rewrite so much of history as we know it. https://
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AI Deciphers Ancient Scroll; Major Updates from Tech Leaders
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AI just deciphered a 2,000-year-old scroll! Plus, major updates from Meta, Carnegie Melon, Stanford, Google DeepMind, OpenAI, Tencent, and 8 new AI tools. Here's EVERYTHING you need to know:
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Fine-tuning Language Models with Predefined Prompt Structures
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Also, a question: When you fine-tune a model that had a predefined prompt structure, like, let's say, Mistral for instance with its [INST] Instruction [/INST] do you use that in the fine-tuning process too when you're feeding the new strings?
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Big Five Model Methodology Advantages Explained
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i believe this is one of the reasons why the Big 5 is generally considered more methodologically useful
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TensorFlow GNN 1.0 Released for Production-Scale Graph Neural Networks
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Graph neural networks (GNNs) have emerged as a powerful technique to leverage the uniquely heterogenous data from graphs. So, we are excited to announce the release of TensorFlow GNN 1.0 (TF-GNN), a production-tested library for building GNNs at scale → https://t.co/sJ6LDVyHuR pic.twitter.com/5ZM8gEDE6q
— Google AI (@GoogleAI) 6 février 2024Graph neural networks (GNNs) have emerged as a powerful technique to leverage the uniquely heterogenous data from graphs. So, we are excited to announce the release of TensorFlow GNN 1.0 (TF-GNN), a production-tested library for building GNNs at scale → https://
goo.gle/3w8ogZC