Aditya

GPT-J - Open-source cousin of GPT-3, everyone can use it

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GPT⁠⁠-⁠J-6B, a 6 billion parameter model trained on the Pile, is now available for use with our new codebase, Mesh Transformer JAX.

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Raju Akon
How to Use it?
Aditya
@raju_akon super simple. Just visit https://6b.eleuther.ai/?ref=prod... write a prompt (the topic/reference/plot) on which you want an output, and then click on 'Run the model' 😍
Blake Hunsicker
This looks really promising. Does GPT-J have a token limit like GPT-3 does?
Aditya
@blakehunsicker yes, it can be fine-tuned at a rate of ~5000 tokens/second, which should be sufficient for small-to-medium-size datasets. Fine tuning instructions are here: https://github.com/kingoflolz/me...
Aditya
Yep! Doors have been OPENED 🤯 An open-source cousin of GPT-3 is here 😇 - Performs on par with 6.7B GPT-3 - Performs better and decodes faster than GPT-Neo - repo + colab + free web demo Got to know about it through Towards Data Science article: https://towardsdatascience.com/c... More details in @arankomatsuzaki's article: https://arankomatsuzaki.wordpres...
Eugene Hauptmann
GJ
@arankomatsuzaki @adityavsc amazing metrics 🤯
Mayank Mishra
this is super good for folks to get started with GPT3 @adityavsc
Aditya
@mishra_mayank absolutely!
Pal
Fab find @adityavsc Thanks! How safe has GPT-J been in your usage - any issues of negative sentiments, foul language or worse?
Aditya
@pallpakk some results were definitely weird but overall, it works great! Negative sentiment, foul language, etc are context specific outputs. So if an input is negative/abusive itself, the output is bound to reinforce the same sentiment.
Pal
@adityavsc Thank you for clarifying. I'm definitely looking into this some more!
Ajeya
🔥🔥🔥🔥🔥
Nik Hazell
Amazing! Nice one for hunting this down @adityavsc!
Aditya
@nik_hazell thank you! Anything for open-source 😉
Girdharee Saran
Useful and easy, good luck on launch
Matt Gordon
Will try this out
Swebliss
Wow this is amazing. Thank you SO much. Is there any way to DM you and ask you something? :)
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