Types of #Data Roles
by @KirkDBorne #BigData #ArtificialIntelligence #ML #MI #DataScience cc: @terenceleungsf @yvesmulkers @pascal_bornet
MACHINE LEARNING
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Types of Data Roles in Big Data and AI
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Shoutout to advocates for low resource languages and NLP
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seriously shoutout to @dwhitena for consistently being on the side of low resource languages and the good work of @MasakhaneNLP (
https://
latent.space/p/practical-ai
-trends
…) – if any similar groups in latam/africa please make me aware of them -
Cornell’s NLP/ML Culture: Academic Excellence Meets Work-Life Balance
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People: cornell obviously is very strong academically but i have noticed compared to other similar-caliber schools people here are remarkably chill. people don't really work nights/weekends and encourage you to have work-life balance. everyone in nlp/ML is fun to hang out with
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Contrastive Learning Deep Dive with Stanford AI Lab Experts
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Revisiting this insightful discussion with Ananya Kumar from the Stanford AI Lab and Snorkel AI CEO Alex Ratner as they dive deep into the concept of Contrastive Learning Watch the full discussion here: https://
youtube.com/watch?v=NQH7Mo
FaleQ
… #StanfordAI #ContrastiveLearning #MachineLearning -
Public Evaluation Sharing Reveals Valuable Learning Opportunities
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amazing what we can learn when we share evals in public
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Fourier Neural Operators Accelerate Plasma Modeling Million Times
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AI with Fourier Neural Operators speeds up Plasma modeling in Nuclear fusion by a million times
— Prof. Anima Anandkumar (@AnimaAnandkumar) 2 avril 2024
Predicting plasma evolution within a Tokamak reactor is crucial to realizing the goal of sustainable fusion. A big challenge are disruptions that occur when the plasma gets unstable… pic.twitter.com/SmWfWgrX6OAI with Fourier Neural Operators speeds up Plasma modeling in Nuclear fusion by a million times
Predicting plasma evolution within a Tokamak reactor is crucial to realizing the goal of sustainable fusion. A big challenge are disruptions that occur when the plasma gets unstable -
Boston Dynamics Robot Dog Now Capable of Answering Questions
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Boston Dynamics #Robot dog can answer your questions
— Ronald van Loon (@Ronald_vanLoon) 2 avril 2024
by @scirex#Robotics #ArtificialIntelligence #Innovation #Autonomous #Technology #FutureTech
cc: @karpathy @ravikikan @patrickgunz_ch pic.twitter.com/DK7ICx3nACBoston Dynamics #Robot dog can answer your questions
by @scirex #Robotics #ArtificialIntelligence #Innovation #Autonomous #Technology #FutureTech cc: @karpathy @ravikikan @patrickgunz_ch -
LIGER: Strengthening Weak Supervision with Foundation Model Embeddings
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Ever wondered how to make weak supervision (ahem) stronger? You're in luck! Stanford PhD student Mayee Chen has been working diligently on a project called LIGER that combines weak supervision and foundation model embeddings,. https://
youtube.com/watch?v=rTpwOY
XUuCk
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Building Powerful RAG Systems with Large Language Models
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🚀 Blog-tastic Tuesdays 🚀https://t.co/qhmO6lROB2
— Satya Mallick (@LearnOpenCV) 2 avril 2024
Our latest blog explores the exciting realm of RAG systems.
By the end of this article, you’ll be equipped to build a powerful and dynamic LLM solution that leverages the strengths of both pre-trained models and up-to-date… pic.twitter.com/Zs6J4ZIazLBlog-tastic Tuesdays https://
learnopencv.com/rag-with-llms/ Our latest blog explores the exciting realm of RAG systems.
By the end of this article, you’ll be equipped to build a powerful and dynamic LLM solution that leverages the strengths of both pre-trained models and up-to-date -
Self Guide to Becoming a Data Analyst
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Self Guide to Becoming a #Data Analyst
by @IamRockybhatia #DataAnalysis #DataScience #BigData #MachineLearning #ArtificialIntelligence cc: @ravikikan @yvesmulkers @kuriharan