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The code for σ-GPT is out! Feel free to experiment with it here: It extends the François Fleuret picoclvr (non-nlp tasks) and Andrej Karpathy nanoGPT (text) codebases, with an additional KV-Cache from IRIS by Vincent Micheli and Eloi Alonso. (links below)

Arnaud Pannatier

1,096 subscribers

12,611 次观看 • 2 年前 •via X (Twitter)

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Arnaud Pannatier 的头像

Arnaud Pannatier2 年前

picoclvr: nanoGPT: IRIS (for KV-Cache, and go check the whole project it's amazing): σ-GPT:

Lab4crypto 的头像

Lab4crypto1 年前

🚀 Don't gamble with your portfolio! Use our advanced hybrid quant risk tool using on/off-chain data and make informed decisions. 📈 Acess to 1000+ charts for your crypto journey. 📚Join our Premium Telegram for daily alerts. 📊+21 projects supported. 🏗️ Beginners and experts.

k_zer0s 的头像

k_zer0s2 年前

@francoisfleuret @karpathy @micheli_vincent @EloiAlonso1 👍

Chris Krempel 的头像

Chris Krempel2 年前

@francoisfleuret @karpathy @micheli_vincent @EloiAlonso1 very! interesting. Is the only thing I need to adjust `def order` for a new learning/ randomization scheme? Let's say I want to gradually move from masking random cells in a table to masking out a whole column?!

Arnaud Pannatier 的头像

Arnaud Pannatier2 年前

@francoisfleuret @karpathy @micheli_vincent @EloiAlonso1 Yeah changing will let you use any kind of ordering. But if you want to be able to change on the fly at generation time, you need to keep a random order during training. But σ-GPT does not use masking like BERT it is causal like a standard GPT.

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