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
RESEARCH
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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 -
Computability Constraints Redefine Online Learning Theory Characterization
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Congrats to @UWCheritonCS colleagues Niki Hasrati (
@niki_hasrati
) & Shai Ben-David (
@shaibendavid5
) on best paper at #ALT2023. Main result shows when an online learner must be computable, it's no longer characterized by Littlestone dimension. Check it out: https://
arxiv.org/abs/2302.04357 -
Theory of Mind Experiments on LLMs Show Promising Results
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These theory of mind experiments on LLMs are surprising and quite fascinating (also BLOOM is pretty strong) https://
t.co/iZ2llu4vxm