Delip Rao e/σ @deliprao
Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈 deliprao.com NYC, 🇺🇸🇮🇳🇹🇼🏳️🌈 Joined October 2008-
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This paper sheds new light to examine the 5% of non-English data in llama3 and an opportunity. The presence of small quantities of multilingual data apparently helps generalization between languages. That’s good news for llama3. I am betting that within weeks, we will have…
This paper sheds new light to examine the 5% of non-English data in llama3 and an opportunity. The presence of small quantities of multilingual data apparently helps generalization between languages. That’s good news for llama3. I am betting that within weeks, we will have…
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Llama3 on @GroqInc: 300 tokens/sec Claude Opus: 18 tokens/sec GPT-4: 36 tokens/sec All three models are seemingly comparable in capability. If you are a builder, which one will you choose?
Llama3 on @GroqInc: 300 tokens/sec Claude Opus: 18 tokens/sec GPT-4: 36 tokens/sec All three models are seemingly comparable in capability. If you are a builder, which one will you choose?
Delip Rao e/σ retweeted
Preliminary testing on my agent benchmark (based on github.com/aymeric-rouche…): Llama3-70B-Instruct is on par with GPT4! 🤯🤯 cc @lvwerra
This is going to be an exciting addition
This is going to be an exciting addition
Cryptographers can now take a breather, while the rest of us continue being blissfully oblivious
Cryptographers can now take a breather, while the rest of us continue being blissfully oblivious
Delip Rao e/σ retweeted
It's going to be hard to adapt Llama3 for Indic languages, in my opinion. Here are a few reasons why: 👉🏼 The tokenizer used is TikToken-based, which is not really efficient in tokenizing Indic text despite having a vocabular size of 121k. 👉🏼 unlike sentence-piece based models,…
Wrote a perfect two line email crisp with necessary details, and then stuffed it with a bunch of pageantry because of who I was sending it to.
Early results are not in favor of LLama3 :-( Looks like it has trouble following instructions. Again, this is early. Anything can happen, including a sudden dip in the loss curve and my house getting nuked.
Early results are not in favor of LLama3 :-( Looks like it has trouble following instructions. Again, this is early. Anything can happen, including a sudden dip in the loss curve and my house getting nuked. https://t.co/lZTRKZKgeb
oh no, llama3 is not off to a good start. maybe something interesting will happen?
oh no, llama3 is not off to a good start. maybe something interesting will happen? https://t.co/Cb7ZZhERf7
Delip Rao e/σ retweeted
Llama 3 is officially the fastest model from release to #1 trending on Hugging Face - in just a few hours. 30,000 new models have been released based on llama 1 & 2 so I can't wait to see the impact that the third and most powerful version will have on the ecosystem! 🚀🚀🚀
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