✨ ✨ Come join us for a guest lecture by Hyung Won Chung from OpenAI on "Shaping the Future of AI from the History of Transformer". The talk will be on Monday October 14 from 1:45 PM to 3:15 PM ET, as part of my course on Large Language Models at the University of Pennsylvania. Hyung Won is a research scientist at OpenAI who worked most recently on their 🍓 o1 model. His other notable works include contributions to Flan-T5, Flan-PaLM, T5X, and the PaLM language model at Google. ➡️ Registration link: https://lu.ma/q0gghdtc Title: Shaping the Future of AI from the History of Transformer Abstract: AI is developing at such an overwhelming pace that it is hard to keep up. Instead of spending all our energy catching up with the latest development, I argue that we should study the change itself. First step is to identify and understand the driving force behind the change. For AI, it is the exponentially cheaper compute and associated scaling. I will provide a highly-opinionated view on the early history of Transformer architectures, focusing on what motivated each development and how each became less relevant with more compute. This analysis will help us connect the past and present in a unified perspective, which in turn makes it more manageable to project where the field is heading. Bio: Hyung Won Chung is a research scientist at OpenAI. His recent work focuses on o1. He has worked on various aspects of Large Language Models: pre-training, instruction fine-tuning, reinforcement learning with human feedback, reasoning, multilinguality, parallelism strategies, etc. Some of the notable work includes scaling Flan paper (Flan-T5, Flan-PaLM) and T5X, the training framework used to train the PaLM language model. Before OpenAI, he was at Google Brain and before that he received a PhD from MIT. Supplementary Readings: ➡️ Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. (https://lnkd.in/eEA6MSJx). ➡️ Fast Transformer Decoding: One Write-Head is All You Need. (https://lnkd.in/eusN_AHm). #ai #machinelearning #largelanguagemodels #llm #upenn #turing
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𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 Understanding the Language of Innovation: - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text and more - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above
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𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 Understand the most crucial aspect of our era: - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Credit: Dirk Zee
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𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee …more
𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee
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𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee by Dr. Marcell Vollmer
𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee
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𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee
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Assistant Manager-Digital Products| Digital payments | sales | Fintech |life cycle management| xJazzCash | xJazz Business| xJazz Commercial | Entrepreneur Fashion Designer| AI & Big Data Certified |Cloud Certified|
Deep understanding of AI and how it works through ML, DL, NLP etc
𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee
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𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee …more
𝗔𝗜 𝗶𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹 : Understanding the Language of Innovation - 𝗖𝗵𝗮𝘁𝗚𝗣𝗧: A conversational AI that can generate realistic and engaging text. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗣𝗿𝗲-𝗧𝗿𝗮𝗶𝗻𝗲𝗱 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗿𝘀 (𝗚𝗣𝗧): A type of AI model that is used to generate text, translate languages, and write different kinds of creative content. - 𝗚𝗣𝗧-𝟰: The latest version of GPT, which is even more powerful and capable than its predecessors. - 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗟𝗟𝗠): A type of AI model that is trained on a massive amount of text data. - 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲: A type of AI that can generate new content, such as images, music, and code. - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: A type of machine learning that uses artificial neural networks to learn from data. - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗠𝗟): A field of computer science that focuses on creating algorithms that can learn from data. - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗔𝗜): The broader field of computer science that encompasses all of the above Source 🙏 Dirk Zee
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👉 LMSYS Org has added image recognition to the Chatbot Arena to compare vision language models (VLMs) from OpenAI, Anthropic, Google, and other AI vendors. In two weeks, more than 17,000 user preferences were collected in more than 60 languages. GPT-4o and Claude 3.5 Sonnet performed significantly better at image recognition than Gemini 1.5 Pro and GPT-4 Turbo. 👇 Read more #ai #artificialintelligence #ComputerVision #GenerativeAI
GPT-4o and Claude 3.5 Sonnet dominate vision language models
the-decoder.com
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Impact of Large Language Models on the Material Development Landscape Materials informatics applies data-driven strategies to materials R&D. Long before generative AI technology reached peak hype, it had a long history of success in this field. A common approach is to use machine learning models trained on databases of material structures and properties, which then capture the underlying structure-property relationship. Author: Sam Dale, Senior Technology Analyst at IDTechEx https://lnkd.in/e_hW2hf7
Impact of Large Language Models on the Material Development Landscape
idtechex.com
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In recent years, the field of machine learning has undergone a significant transformation, thanks to the introduction of Large Language Models (LLMs) and innovative techniques that have pushed the boundaries of the domain's capabilities. These advancements have primarily been unveiled in research papers, unveiling novel methodologies and revolutionizing our perspectives on the domain. Here are 5 that are fascinating and illuminating. #MachineLearning #Innovation
5 Influential Machine Learning Papers You Should Read
https://machinelearningmastery.com
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