Lucas Beyer (bl16) @giffmana
Researcher (Google DeepMind/Brain in Zürich, ex-RWTH Aachen), Gamer, Hacker, Belgian. Mostly gave up trying mastodon as [email protected] lucasb.eyer.be Zürich, Suisse Joined December 2013-
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Lucas Beyer (bl16) retweeted
Don't forget IDEFICS 2 amidst Llama 3 🦙 It's Apache 2.0 😂 Comes with improved OCR capabilities too. Refer to the results in the model card for more details ⬇️ huggingface.co/HuggingFaceM4/…
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Lucas Beyer (bl16) retweeted
Who called it LLaMA 3 and not LLLaMA?
this is about the time it takes when i mistakenly run a pali3 (5B sota VLM) prediction on a weak cpu-only machine. Including XLA compile time lol.
this is about the time it takes when i mistakenly run a pali3 (5B sota VLM) prediction on a weak cpu-only machine. Including XLA compile time lol.
While SF and Paris are battling it out to be the LLM capital, Zürich is undoubtedly the Computer Vision capital🤓 Full house this evening.... now I actually have to deliver😅
More dynamic programming languages need the `?` operator. Not the one from C, the one from CoffeeScript:
More dynamic programming languages need the `?` operator. Not the one from C, the one from CoffeeScript: https://t.co/jcpiiVtza0
Which sadist thought this is a good idea? I'm falling for it every single time...
Lucas Beyer (bl16) retweeted
@giffmana I have tried couple times before and couldn't find it. But now I put a bit more effort just for you and bam, here it is arxiv.org/abs/2304.09151 P.S. from Google Research, huh
Importantly: your initial data collection is a filter on “the world” in the first place! PS: Don’t ask me details we haven’t written in papers, not gonna reveal any internal secrets.
Been preaching (nor writing) this for a while: ANY data filter is a decision to not learn about sth. Think carefully: really want that? For small runs? For large runs? What else could you be inadvertently removing? Do you really know your filter? Looked at examples it removes?
Been preaching (nor writing) this for a while: ANY data filter is a decision to not learn about sth. Think carefully: really want that? For small runs? For large runs? What else could you be inadvertently removing? Do you really know your filter? Looked at examples it removes?
Excited to see more about this soon!
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