Learning produces a hippocampal cognitive map in the form of an orthogonalized state machine https://
bit.ly/46fOZQD #AI #MachineLearning #DeepLearning #LLMs #DataScience
MACHINE LEARNING
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Hippocampal Cognitive Maps in Machine Learning State Machines
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Falcon-180B Demo: Advanced Language Model on Hugging Face
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Falcon-180B Demo – a Hugging Face Space by tiiuae https://
bit.ly/3rs7pyK
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Games Collection: Machine Learning and Deep Learning Applications
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AI Games – a fffiloni Collection https://
bit.ly/3EJhWJ3
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
TinyML and Efficient Deep Learning for Resource-Constrained Devices
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TinyML and Efficient Deep Learning Computing, MIT 2023 A course that covers efficient AI techniques used for deploying deep learning models on resource-constrained devices. The topics covered include model compression, pruning, quantization, neural architecture search,
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Intuit Launches Intuit Assist Powered by Advanced AI Technology
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Introducing Intuit Assist – Intuit Blog https://
intuit.me/45UOWKt
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
What emerging AI technology hasn’t peaked yet?
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OK so what's the new thing that hasn't peaked yet?
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Understanding Multimodal AI: Fundamentals and Applications
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What Is Multimodal AI? https://
bit.ly/3sVgUad
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
The Future of Generative AI: Trends and Insights
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What’s the future of generative AI?
#AI #AIio #BigData #ML #NLU #Futureofwork @DeepLearn007 @albertogaruccio @alvinfoo @andi_staub @andy_lucerne @antgrasso @BernardMarr @enricomolinari http://
ow.ly/sLwS30sxiNm -
Top Performers Will Be AI-Enabled Workers at Companies
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Guess what: the top performers at your company will be AI-enabled workers. We’re at a massive inflection point for worker #productivity. https://
papers.ssrn.com/sol3/papers.cf
m?abstract_id=4573321
… HT Allie K. Miller #motivation #FutureofWork #Leadership #success #startup #ArtificialIntelligence #ML #ChatGPT -
Stanford’s Sophia Cuts Language Model Pretraining Time Half
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With the goal of optimizing the pretraining of large language models, Stanford scholars developed an approach called Sophia which cuts that time in half. Find out how they did it: