#AI https://
news18.com/news/india/wha
t-is-bard-googles-answer-to-chatgpt-explained-7018873.html
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RESEARCH
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Bard Explained: Google’s ChatGPT Competitor Detailed
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Gartner Radar Highlights Edge AI and Computer Vision Growth
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"Stay ahead of the tech game! The 2023 Gartner Emerging Tech and Trends Impact Radar highlights the growth of #edgeAI and #computerVision. Learn more: https://
gtnr.it/3jo0mDi #emergingtechnology #technologytrends" -
GPT-4 Release Speculation: Multimodal Capabilities Expected
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GPT-4 will be here soon!! What wouldn't it be?
A 100 trillion parameter model What would it be?
Might be multimodal -
Technology complexity distances us from underlying science
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Géniale analyse de @EtienneKlein « Plus un objet est complexe, plus il est facile de l'utiliser sans le connaître. D'une certaine façon, la technologie nous éloigne de la science qui la rend possible. »
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Natural voice generation with emotion and age variation
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Here I am talking about natural voice generation. Imagine I say 'say hello in the tone of a 56-year-old man who is sad'. And 'say hello in the tone of a 56-year-old man who is happy'. It's the same word, but not at all the same generation. It's very complex.
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LangChain Methods for Handling Context Window Limits
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check out documentation here: https://
langchain.readthedocs.io/en/latest/use_
cases/question_answering.html
… theres a few different methods for getting around the context window limits! -
Google Announces Bard AI Model Built on Advanced LaMDA
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We're excited to share Bard soon. It utilizes a powerful version of LaMDA and is made possible by our foundational work on Transformers, dialog models, responsible AI, model safety techniques, and more.
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Google and Columbia’s Mnemosyne: Training Transformers With Transformers
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Google & Columbia U’s Mnemosyne: Learning to Train Transformers With Transformers https://
syncedreview.com/2023/02/06/goo
gle-columbia-us-mnemosyne-learning-to-train-transformers-with-transformers/
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RLHF: The UI Design Layer for LLM Interaction and Behavior
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RLHF is the "UI/interface design" of LLMs & genAI. It is how we will _design_ the interactions between users & the model, and program it to mirror the desired behavior—helpful, playful, creative, factual Like design, it will be a fundamental way to differentiate in the next era
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Comprehensive Survey of Continual Learning: Theory, Methods and Applications
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A Comprehensive Survey of Continual Learning(CL): Theory, Method and Application A survey paper on CL, one of the emerging topics in AI. ML has advanced a lot, but given the dynamic nature of the world, ML systems still struggle at adapting to changes. https://
arxiv.org/abs/2302.00487