possibly one of the funniest model on the hub (the RLHF tutorial that was the reason of its creation is also awesome – check it out)
MACHINE LEARNING
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Machine Learning Mind Map: Concepts, Techniques and Applications
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Looking for a comprehensive guide to Machine Learning? Check out the Machine Learning Mind Map – a visual representation of the concepts, techniques and applications of ML. Via @ingliguori #MachineLearning #MindMap #Tech #AI #Edutech #artificalintelligence #innovation
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Robot Fleet Learning: New BAIR Research Insights
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Two BAIR blog posts in one week! New post today on robot fleet learning by @ryan_hoque : https://
bair.berkeley.edu/blog/2023/04/0
6/ifl/
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GroqFlow™ Introduction: Automatic ML Workload Mapping Tool Demo
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#ThrowbackThursday to one of our favorite #GroqDay segments, an introduction to GroqFlow™, our automatic tool flow for mapping ML workloads to GroqChip™. Join us for the next GroqDay on Wednesday, April 12. Register for free at http://
groq.link/groqday4. http://
youtube.com/watch?v=qfJub7
p7gP8&t=75s
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Machine Learning Leader Shares Philosophy to AI Journey at Cohere
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Our Head of Machine Learning, @egrefen
, chatted with @Analyticsindiam about his journey from philosophy to AI and Cohere's Command Beta, which topped Stanford's HELM! Get the full scoop: https://
analyticsindiamag.com/the-quest-to-l
earn-human-brains-took-him-from-philosophy-to-ai/
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Master Transformers for Text, Vision, and Speech with Production Optimization
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By the end of this course, you will be able to apply Transformers to (almost) any ML problem! This includes text, vision, and speech. And not only demos, but you'll learn how to optimize models for production. And you'll do that using HuggingFace libraries.
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Free HuggingFace Course to Learn Transformers and NLP
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The hottest field in AI right now is Natural Language Processing. Here is a FREE course you can't miss: The HuggingFace Course https://
huggingface.co/course/chapter
0/1
… This is the place to start if you want to learn about Transformers. Read on for what to expect: -
ICML 2022 Machine Learning Research Recognition and Academic Collaboration
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Yeah we go way back, to undergrad at Cornell in 2011, and also some overlap in grad school. I really liked his #ICML2022 paper (co-led with @andrew_ilyas and @logan_engstrom
) so I'm excited to see what he's been up to since! https://
arxiv.org/abs/2202.00622 -
Masters Golf Tournament Generates 30+ Data Points Per Swing
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Did you know every swing at the Masters creates more than 30 data points? Learn how we’re capturing everything from club speed to crowd noise and delivering AI-powered insights in real-time: https://
ibm.co/3zEq6je #TheMasters -
ML Models as Tools for Human Intelligence, Not Threats
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Machine learning models are not going to “take over” and eradicate humanity. But rather, just like all technologies from before, humans will simply adapt to them, and absorb the new technology into our everyday lives, making these models part of our collective human intelligence.