All major neural networks, in one chart: http://
bit.ly/2HB7tl9 v/The Asimov Institute
MACHINE LEARNING
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Major Neural Networks Comparison Chart Overview
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Natural Language Processing NLP NLU NLG Speech Recognition
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In this @Cognilytica #AIToday #podcast AI Glossary Series episode 'Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition' hosts @rschmelzer & @kath0134 define these terms & share how they fit into #AI. Full episode: https://
cognilytica.com/2022/12/16/ai-
today-podcast-ai-glossary-series-natural-language-processing-nlp-nlu-nlg-speech-to-text-tts-speech-recognition/?utm_source=dlvr.it&utm_medium=twitter
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#NLP -
Climate Trace Leverages Satellite Data and AI Technology
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One option is to utilize data from Climate Trace. Satellite data using AI. Exciting options.
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Women in AI: Dr Coralie Ebert on Breaking Bias in Tech
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Break down #bias – Women in #ArtificialIntelligence
Ep2: Dr Coralie Ebert #CTO MeNow #cosmetics #Science #AI https://
youtu.be/UYM3Kbwppa8 @YouTube @1OFFGINGER @DeepLearn007 @SpirosMargaris #STEM #womenintech @sandy_carter @NolwennGer @moingshaikh @pierrepinna @EstelaMandela #ML -
Language AI Creativity Surge Prompts European Bias Scrutiny
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Language processing AI becomes viral hit by pushing boundaries of creativity; European watchdog raises bias concerns over AI. #ArtificialIntelligence #NLP #AI #MachineLearning #ML #bias #Robotics #IoT #bot #100DaysOfCode #Technology https://
bit.ly/3Wu8m3p -
Codecademy offers free machine learning model building course
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Also, Codecademy has a "Build your own Machine Learining Model" that you can try for free! https://
join.codecademy.com/learn/paths/ma
chine-learning/
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Common Applications of Machine Learning Explained
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What can you actually make with Machine Learning? -Image classification
-Prediction models
-Speech recognition
-Natural language processing (GPT-3)
-Recommendation systems The possibilities are endless. (Personally, I think Natural Language Processing is the most ) -
Comprehensive Machine Learning Lecture Series by Dmitry Kobak
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This Youtube lecture series by Dmitry Kobak is a great baby-steps approach to ML. This 10-hour series rivals most collegiate-level CS classes. It's long, but you'll learn a LOT about ML. https://
youtube.com/watch?v=lWGdFe
Msjzg&list=PL05umP7R6ij35ShKLDqccJSDntugY4FQT
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Explaining the Difference Between AI and ML
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First off, what's the difference between AI and ML? "AI" is a broad field that encompasses the development of intelligent machines and software, while Machine Learning is a specific approach to achieving artificial intelligence using algorithms & models that can learn from data.
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Code Capture as Foundation for RLHF Self-Bootstrapping
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“capture code” could be a very cool basis for RLHF/retraining. this thing is bootstrapping itself!