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Hello Dolly: Democratizing the magic of ChatGPT with open models

databricks.com

191–194 of 194 posts

Re: Hello Dolly: Democratizing the magic of ChatGPT with open models

#191
post #105
post #103

Does anyone else find it ironic that all these ChatGPT "clones" are popping up when OpenAi is supposed to be the ones open sourcing and sharing their work? I guess: "You Either Die A Hero, Or You Live Long Enough To See Yourself Become The Villain"?

Sam Altman has turned into a megalomaniac.

I still haven't fully ruled out that his consciousness has been replaced by an AGI

Re: Hello Dolly: Democratizing the magic of ChatGPT with open models

#193
post #107

Earlier quoted context omitted.

The 3 hours is the instruction fine-tuning. The base foundational model is GPT-J which was already provided by Eleuther-AI and has been around for a couple of years. Note: I work at Databricks and am familiar with this project but didn't work on it.

Do you know why GPT-J is being used instead of NeoX or any of the other larger open source models?

7B is a sweet spot where you can do something with limited resources both for training and inference. Going beyond that you spill out of an A100 without tricks. We will continue iterating on this with other models.

Re: Hello Dolly: Democratizing the magic of ChatGPT with open models

#194

Anyone care to comment on why the output of these models changes so dramatically given so little Q&A training? It's a 6 billion parameter model with only 50 thousand Q&A samples. It's clear the model already "knows" the format of a Tweet (short length, attention-grabbing, contains hashtags). The model also knows stuff about language models (word2vec, tokenization), and can include entities from the question in its re…

Just like in Alpaca, the answer lies in the LLama dataset where the focus is on instruction following. GPT-J knows all the answers but just now was taught to understand the questions thoroughly before writing the answer.
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