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David Bartram-Shaw (DBS) @dbs_dsml

Chief AI Officer at @wearemesh_ai | Posting #AIinsights #AIopinions #AItools #RealWorldAI. Opinions are my own, no BS, I credit ideas that are not my own. London, UK Joined November 2021
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David Bartram-Shaw (DBS) retweeted
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Andrej Karpathy @karpathy

a year ago

Awesome and highly useful: FineWeb-Edu 📚👏 High quality LLM dataset filtering the original 15 trillion FineWeb tokens to 1.3 trillion of the highest (educational) quality, as judged by a Llama 3 70B. +A highly detailed paper. Turns out that LLMs learn a lot better and faster…

gui_penedo Profile Picture

Guilherme Penedo @gui_penedo

a year ago

Awesome and highly useful: FineWeb-Edu 📚👏 High quality LLM dataset filtering the original 15 trillion FineWeb tokens to 1.3 trillion of the highest (educational) quality, as judged by a Llama 3 70B. +A highly detailed paper. Turns out that LLMs learn a lot better and faster… https://t.co/9nXaet5tmG

David Bartram-Shaw (DBS) retweeted
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François Fleuret @francoisfleuret

a year ago

TL;DR: We designed a diffusion world model. Frame prediction is more accurate and improves sota on Atari for an RL agent trained with 100k frames. @EloiAlonso1, @AdamJelley2, @micheli_vincent, Anssi Kanervisto, @AmosStorkey, @Tea_Pearce @sciences_UNIGE @MSFTResearch 1/2

_akhaliq Profile Picture

AK @_akhaliq

a year ago

TL;DR: We designed a diffusion world model. Frame prediction is more accurate and improves sota on Atari for an RL agent trained with 100k frames. @EloiAlonso1, @AdamJelley2, @micheli_vincent, Anssi Kanervisto, @AmosStorkey, @Tea_Pearce @sciences_UNIGE @MSFTResearch 1/2

David Bartram-Shaw (DBS) retweeted
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Boaz Barak @boazbaraktcs

2 years ago

My view is that what makes super-alignment "super" is ensuring we can safely scale the capabilities of AIs even though we can't scale their human supervisors. For this, it is imperative to study the "weak teacher strong student" setting. Paper shows great promise in this area!

_akhaliq Profile Picture

AK @_akhaliq

2 years ago

My view is that what makes super-alignment "super" is ensuring we can safely scale the capabilities of AIs even though we can't scale their human supervisors. For this, it is imperative to study the "weak teacher strong student" setting. Paper shows great promise in this area!

David Bartram-Shaw (DBS) retweeted
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⿻ Andrew Trask @iamtrask

2 years ago

LLMs believe every datapoint they see with 100% conviction. A LLM never says, "this doesn't make sense... let me exclude it from my training data". Everything is taken as truth. It is actually worse than this. Because of how perplexity/SGD/backprop works, datapoints which…

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David Bartram-Shaw (DBS) @dbs_dsml

3 years ago

#AIopinions Such a honest and true viewpoint on what’s happening in AI right now from @natolambert 👌 A great discussion on the relationship between research and industry waves. Every person working in the field will empathize with this in depth view and take learnings from it.

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Nathan Lambert @natolambert

3 years ago

#AIopinions Such a honest and true viewpoint on what’s happening in AI right now from @natolambert 👌 A great discussion on the relationship between research and industry waves. Every person working in the field will empathize with this in depth view and take learnings from it.

David Bartram-Shaw (DBS) retweeted
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Yann LeCun @ylecun

3 years ago

Data on the intellectual contribution to AI from various research organizations. Some of organizations publish knowledge and open-source code for the entire world to use. Others just consume it.

johnjnay Profile Picture

John Nay @johnjnay

3 years ago

Data on the intellectual contribution to AI from various research organizations. Some of organizations publish knowledge and open-source code for the entire world to use. Others just consume it.

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David Bartram-Shaw (DBS) @dbs_dsml

3 years ago

#aitools BOOM 💥 Here we go ...! 🚀 "With Azure OpenAI Service now generally available, more businesses can apply for access to the most advanced AI models in the world—including GPT-3.5, Codex, and DALL•E 2" azure.microsoft.com/en-us/blog/gen… #AzureOpenAI #Microsoft #ai #ml #DataScience

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