Henok | Neural Nets
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Did you know OpenAI has a Superalignment Team that works on teaching powerful AI to be supervised by less powerful models? Fun fact both co-led of the team Ilya Sutskever and Jan Leike has left OpenAI. Could it be that Sam wanted it to be uncontrolled😎?

AI word of the day✍️

AI Alignment: aims to make AI systems behave in line with human intentions and values.

Read more here: https://openai.com/superalignment/
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ChatGPT got more rizz than @beka_cru and basically y'all
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Kevin and Nando are notable figures in AI, specializing in Bayesian machine learning, neural networks, RL, and more. They have praised this book highly. Although I haven't read it yet, I trust it's excellent.

😎 I've met Kevin once, in-person, and he's such an amazing guy. He's also the author of the famous book series on Probabilistic Machine Learning.
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What If We Run Out of Data to Train LLMs? πŸ€”

Ever wondered if we could actually run out of data to train our massive language models? πŸ“‰

Tomorrow, I'll be hosting Niklas Muennighoff(Research Engineer at Contextual AI) to present an amazing paper called Scaling Data-Constrained Language Models

Add this to your calendar: https://cohere.com/events/niklas-muennighoff-2024-06
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Basic summary of Apple Intelligence

If you have watched WWDC24, let me know somethings I missed
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When @baydis uses it it's a feature, when OpenAI provides the models it's a product
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Forwarded from Emβ€”
AI is a feature not a product?

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Attention is all you need (maybe, at least for now).

This is a paper that introduced the transformer architecture, a back bone for LLMs. To understand the architecture there is no better resource than a blog by Jay Alammar. It's the best blog ever about transformers.

The Illustrated Transformer
https://jalammar.github.io/illustrated-transformer/
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Join us if you are interested: https://meet.google.com/rrj-sotc-yjt
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πŸš€Our paper is out

I was part of this paper called "CVQA - Culturally-diverse Multilingual Visual Question Answering Benchmark"

Go ahead and check out the paper on arxiv

https://arxiv.org/abs/2406.05967
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