Artificial intelligence changing the game in MU cancer, muscle research – Columbia Missourian Read more here: https://
ift.tt/zL62ORt #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT
MACHINE LEARNING
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AI Advances Cancer and Muscle Research at Columbia
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Favorite MLOps and hosted ML tools discussion
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What are your favorite MLOps tools or hosted ML tools, and why?
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Comprehensive Guide to Machine Learning Free Book
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Free Book: A Comprehensive Guide to #MachineLearning http://
bit.ly/2AAidka #AI #NeuralNetworks #TensorFlow #Algorithms #Programming #Python #ML #100DaysOfCode #javascript #linux #cloud #serverless #BigData #Analytics #womenwhocode #devcommunity #DataScience #DeepLearning -
World Models and Reinforcement Learning in Control Theory
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Agree with the last one, but we still work on a lot of reinforcement learning, because our world models are not present/perfect. @SahinLale is working at the intersection of learning and control. Check out his work for excellent theoretical background as well as empirical results
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Generative AI Essential for Concept Learning Beyond Art Creation
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Strongly disagree with the first one. "What I cannot create I cannot understand" – Richard Feynman. Generative AI is not just for creating fun art, it is at the core of concept learning.
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Learning and Refining Semantic Categories from Single Instances
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Learn a word based on a single instance (e.g. this particular airplane = word "airplane"), then use the word to refer to a broad category of related things (all flying things are now airplanes), then gradually refine semantic categories (helicopters, dirigibles…)
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AI for Science as True Test of AI Capabilities
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I believe @AI_for_Science is a true test of #AI capabilities. While generating realistic text or images can be fun to play with, more controlled tests of #AI is easier with scientific domains where we have more concrete metrics and objectives to measure
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ChatGPT Technical Details Related to InstructGPT Research
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relatively few technical details have been released so far, but chatgpt is related to instructgpt https://
arxiv.org/abs/2203.02155 -
Improve GPT-3 regex output by rewriting with comments
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It’s also not a new breakthrough — here’s an example of mine from August using GPT-3. The trick to good output on these is to make it first rewrite the regex on multiple lines with comments, then analyze its high-level purpose afterward. Avoids hallucination.