Yeah. And we still don't know why OpenAI models are better: 1. More and better data?
2. Larger pretrained base model?
3. RLHF instead of supervised finetuning? My guess is it's probably all of these above.
MACHINE LEARNING
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Reasons Behind OpenAI Models’ Superior Performance Remain Unknown
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And the recent "How Far Can Camels Go" paper (
https://
arxiv.org/abs/2306.04751) is a nice example of how important the dataset for LLM finetuning is. -

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Our friends @anas_awadalla (U of Washington) and @irena_gao (Stanford) released this cool project with our compute support: OpenFlamingo v2: New Models and Enhanced Training Setup. Pls check it out on our AI blog and provide feedback!
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Following 70000 AI Accounts: Inside an AI Enthusiast’s Feed
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I am the only human to follow 70,000 in AI. On vacation now but check out my like feed.
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Digital Data Guardrails: First Step in AI Regulation
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Digital data guardrails are the first step in regulating AI
#AI #AIio #BigData #ML #NLU #Futureofwork http://
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Digital data guardrails are the first step in regulating AI
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Why Train Models on Multiple Languages Instead of Single Language
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Why do we need to train a model on 30 different languages? Why can't we train a model on just 1 language say python or JS ? Is it because there isn't enough training data ? – @lazyiitian