Policy gradients: F = Q(x,y) (the state-action value function), and x and y are generated by the model acting on an environment with policy p(y|x). The x’s are from the invariant state distribution as in the policy gradients theorem.
RESEARCH
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Supervised Learning: Function Identity and Human-Labeled Data
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Supervised learning: F = I (identity), and x and y are produced by humans. E.g. x is images taken by humans and y are corresponding labels. E.g. 2, x is text and y is the next text token.
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Learning Methods Unified Through Gradient Optimization Framework
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Funny @sirbayes Learning methods — supervised, RLHF, policy gradients, Dagger, self-training — can be seen as optimisation with the following gradient: grad = Expectation_x,y [ F(x,y) grad log p(y|x) ] Choices of F and how x and y are produced determine the learning type 1/n
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MIT’s MiniCity Tests Autonomous Urban Perception Planning
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Cruising through MIT’s MiniCity, a scaled-down McWorld for testing autonomous urban perception & planning. pic.twitter.com/OsuvGoqfJk
— MIT CSAIL (@MIT_CSAIL) 11 février 2023Cruising through MIT’s MiniCity, a scaled-down McWorld for testing autonomous urban perception & planning.
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Open Source ChatGPT Alternative Dataset Contribution Initiative
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Tenéis toda la info en este vídeo. Pero el TL;DR es que estamos contribuyendo al dataset de un futuro asistente similar a ChatGPT que sea open source. Más datos de calidad Mejor rendimiento. Así que cualquier difusión y ayuda será bienvenida 🙂 https://
youtube.com/watch?v=XYT1Tx
INbuM&ab_channel=DotCSV
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Microsoft’s BioGPT biomedical text-generation model goes viral
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The implementation of Microsoft's biomedical text-generation model #BioGPT is going viral on Github
V/ @alphasignalai https://
buff.ly/3RSTqe7
#AI #MachineLearning #DeepLearning @kirkdborne @Khulood_Almani @AkwyZ @Victoryabro @Fabriziobustama @MaiaGabunia @amalmerzouk -
BioGPT-Large Achieves 81% Accuracy in Biomedical Language Model
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This is a domain-specific generative language model pre-trained on large-scale biomedical literature. BioGPT-Large outperformed previous existing models with 81% accuracy and achieved the “human parity”. Checkout the repo: http://
github.com/microsoft/BioG
PT
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Microsoft Releases BioGPT: Generative AI for Biomedical Applications
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Microsoft released a generative AI model which is dedicated to biomedical use cases. "BioGPT" is a language model which is trained for biomedical text generation and mining Here is the implementation of BioGPT:
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AI Today Podcast: Pattern Recognition Definition and Importance
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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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#data #ML #tech -
Hybrid Work Success: Unified Communications, Skills and Wellbeing
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A #HybridWork Q&A Ingredients for Success! See @Mitel #CMO @VenkatNagaswamy & I http://
bit.ly/HybridComms From #UnifiedCommunications to #skills & #wellbeing + new #research #5G #AI #MitelPartner #innovation @Shi4Tech @dinisguarda @danfiehn @Analytics_659 @mvollmer1