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RESEARCH
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Pattern Recognition in AI: Fundamentals and Importance Explained
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In this @Cognilytica #AIToday #podcast AI Glossary Series episode 'Pattern Recognition' hosts @rschmelzer & @kath0134 define the term #PatternRecognition, explain how it relates to #AI, and why it’s important to know about. Full episode: https://
aidatatoday.com/ai-today-podca
st-ai-glossary-series-pattern-recognition/?utm_source=dlvr.it&utm_medium=twitter
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#tech #data #ML -
Clever Hans story receives new analysis and perspective
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Indeed – this piece by @BigMeanInternet really adds another layer to the Clever Hans story
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David Deutsch on Knowledge, Computation, Evolution and Physics
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My conversation with Professor David Deutsch. His work combines the theories of knowledge, computation, evolution, and physics, to form the deepest current explanation of humans and their unique role in the universe. https://
nav.al/david-deutsch https://
youtu.be/YyxepLfH1ZU -
LLMs and Chatbots Understanding Human Intelligence Aspects
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This is nice thread on LLMs and chatbots by @fchollet
. This is as much about understanding LLMs as it is about understanding different aspects of what we think of as human intelligence -

ChatGPT on the Future of Computer Science Schools
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L’excellent journaliste @Meratvico du @Le_Figaro à interrogé #ChatGPT sur le risque de disparition des écoles informatiques La réponse de #ChatGTP est glaçante
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Large Models Unlock Compound Improvement Threshold for LLMs
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agree – the recent string of works using large models to improve LLM (CAI, tools…) is mind-blowing. i feels like we've unlocked something that was tried many times before in AI but never worked – passing a compound-improvement-threshold that open a wild west of new capabilities
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Who Invented Deep Learning? Exploring AI History
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Buena aplicacion! Preguntale quien invento deep learning A ver cuando hablamos!!
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What new properties will future LLMs bring?
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This is quite remarkable! What new properties will future LLMs bring? 2/2
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Theory of Mind Benchmark: Emerging Cognitive Properties in LLMs
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Theory of mind (ToM) benchmark shows the performance of different LLMs on their ability to understand people's mental states. It would be great to understand what changed (for example, from GPT-3-davinci-002 to GPT-3.5-davinci-003) to make these cognitive properties emerge. 1/2