It is great that you're setting learning goals for 2024 — I hope more people thinking about New Year's resolutions will plan not just for what they want to do, but also what they want to learn!
RESEARCH
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Mixture of Objectives for Training Biological Neural Networks
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Congrats Yi! Will you use mixture of objectives to train biological neural nets too?
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What We Still Don’t Know About Language Models
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people keep saying AI is moving so fast. some days I agree, but some days I'm not sure – so many papers published, but I don't feel like we're making that many fundamental breakthroughs. to cap off 2023, here's a list of things we still don't know about language models: – how
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Language Models Power Compared to Nuclear and Internet Technology
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I don't think language models are "the most powerful technology"; I think that title would go to something else, perhaps nuclear bombs, or battleships, or The Internet
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LangChain State of AI 2023: Year Review Trends
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As the year draws to a close, highlighting two pieces of content that really summed up 2023 for LangChain: LangChain State of AI 2023: highlighting all the trends in models, vectorstores, retrieval and evaluation that we saw over the past year https://
blog.langchain.dev/langchain-stat
e-of-ai-2023/
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DataRobot closes generative AI confidence gap production
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How can your organization drive value in production with #generativeAI? @451Research covers first-of-its-kind capabilities from DataRobot to help close the generative AI confidence gap, empowering organizations to operate with correctness and control. Download the special
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AI in 2023: Summary of Major News and Research
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AI in 2023 summarized in 13 minutes! In this video, we discuss all the most important research articles and news of this year in AI. https://youtu.be/nxNR-NS2sC0 #ai #artificialintelligence #technology #technologies
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TinyGPT-V: Efficient Multimodal Large Language Model
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TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones Zhengqing Yuan, Zhaoxu Li, Lichao Sun : https://
arxiv.org/abs/2312.16862 #Artificialintelligence #ChatGPT #DeepLearning -
Productivity Paradox: Why People Resist Tools They Can’t Afford
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people don't typically spend big money on things they can do themselves. that's why increased productivity is so daunting. while we assume higher productivity will create new value and lead to commodification, people are already overwhelmed with so much information that they
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FAR AI Researchers Discover Emerging Flaws in GPT-4
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[#Article] Researchers from FAR AI reveal emerging flaws in GPT-4 https://actuia.com/actualite/des-chercheurs-de-far-ai-revelent-les-failles-emergentes-de-gpt-4/
… #AI #artificialintelligence