#otd in 1936, Alan Turing's "Universal Machine" proposal ushered in the computer age: http://
bit.ly/1WKvx7V
RESEARCH
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Alan Turing’s Universal Machine Ushered Computer Age 1936
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Self-Assembling Robots and Future of Fabrication with Neil Gershenfeld
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Here's my conversation with Neil Gershenfeld, director of MIT's Center for Bits and Atoms, all about self-assembling and self-replicating robots, and the future of fabrication at the boundary of physics and computation. This was fascinating & inspiring! https://
youtube.com/watch?v=YDjOS0
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LLM Chatbots in Search: Real-World Applications Matter More Than Media Hype
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I meet people weekly across industries, education levels, countries, etc who believe this, citing the use of LLM chatbots in search. Even some AI researchers who don’t specialize in LLMs. So as much as the media covers this, how these tools are applied is a more powerful signal.
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Larger Token Sizes: Why More Content Hurts LLM Response Quality
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Despite us all clamouring for larger token sizes on AI APIs, some of the real-world testing suggests the larger the amount of content fed to an LLM the more difficult it is to produce acceptable responses.
— Replit ⠕ (@Replit) 28 mai 2023
Find out about this & more by watching https://t.co/sLzgzpxyKJ pic.twitter.com/VwlU7ALAwqDespite us all clamouring for larger token sizes on AI APIs, some of the real-world testing suggests the larger the amount of content fed to an LLM the more difficult it is to produce acceptable responses. Find out about this & more by watching https://
youtube.com/watch?v=zXX0I6
dOPYk
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Google’s Known Inaccuracies vs LLM Hallucination Rates Uncertainty
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People also know Google can be inaccurate but we rely on it anyway because we assume from experience the inaccuracies are small. We still don’t know the degree to which LLM chatbots hallucinate but their marketing as search tools makes many believe they err at a similar rate.
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LAB2MARKET 2023 Connects Academic Innovators with Industry
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The new edition of LAB2MARKET 2023 aimed at providing academic innovators with the right visibility and industry connections to help them realise the potential impact of their work. Watch this video to catch some glimpses of the evaluation session. pic.twitter.com/wjrZSeIqCt
— IndiaAI (@OfficialINDIAai) 28 mai 2023The new edition of LAB2MARKET 2023 aimed at providing academic innovators with the right visibility and industry connections to help them realise the potential impact of their work. Watch this video to catch some glimpses of the evaluation session.
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GPT-4 Typo: Examining Language Model Error Patterns
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https://
reddit.com/r/ChatGPT/comm
ents/13t216j/anyone_ever_seen_gpt4_make_a_typo_before/
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NLP Transforming Healthcare Industry with Amir Emadzadeh
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In this clip of the @storiesinAI podcast, Amir Emadzadeh talks about how natural language processing is set up to transform the healthcare industry.
— Ganesh💰Padmanabhan ⚕️🦾 (@_ganeshp) 27 mai 2023
Check out the full podcast:https://t.co/4HBuI8Ws9F pic.twitter.com/bFjMuGJv41In this clip of the @storiesinAI podcast, Amir Emadzadeh talks about how natural language processing is set up to transform the healthcare industry. Check out the full podcast: https://
youtu.be/WL98VjkTZUI -
Google Research SoundStorm Audio Generation Examples
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Explore more examples here: https://
google-research.github.io/seanet/soundst
orm/examples/
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Google Research showcases PaLM 2, Imagen, and AI innovations
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Very proud to see the many ways that @GoogleResearch contributed to the many announcements at the recent Google IO event. PaLM 2 in dozens of uses, Imagen, Phenaki, Chirp, MusicLM, flood forecasting, Green Light, fair and inclusive ML work, and more!