chatgpt-api VS DALLE-mtf

No problem at all :) Check out this github repo: https://github.com/transitive-bullshit/chatgpt-api

You can check out the chatgpt-api repository on GitHub. This API provides free access to ChatGPT https://github.com/transitive-bullshit/chatgpt-api

google for "chatgpt nodejs api" theres a couple things out there such as https://github.com/waylaidwanderer/node-chatgpt-api https://github.com/transitive-bullshit/chatgpt-api you might have to pay to use it though, or risk getting your account banned for using the free website preview thing

I just pushed an update to the `chatgpt` NPM package with support for the official ChatGPT API: https://github.com/transitive-bullshit/chatgpt-api

You forgot to give a link to this (well known in close circles) git: https://github.com/transitive-bullshit/chatgpt-api

Happy to answer any questions 👋 Check out the GitHub repo to get started: https://github.com/transitive-bullshit/chatgpt-api

This vision is in line with EleutherAI, a non-profit organization founded in July 2020 by a group of researchers. Driven by the perceived opacity and the challenge of reproducibility in AI, their goal was to create leading open-source language models.

My current idea is to utilize the EleutherAI pythia (Databricks Dolly). I would like to know whether translating the Dolly-15k dataset into the desired language using state-of-the-art translation techniques like DeepL would be a viable approach to fine-tune the Pythia base model. I want to use this model for semantic search, so perfection is not a necessity.

There are open source AI efforts, like EleutherAI. Needless to say, they are lagging behind big players, but it's better than nothing.

The new GPT 3.5 isn't aware what are GPT-3.5 or davinci-002 (repeatable) and claimed that it was designed by EleutherAI and has only 6 bil parameters (wasn't been able to repeat but didn't really try).

Hi, my name is Stella Biderman and I run EleutherAI, the one of the foremost non-profit research institutes in the world that trains and studies large language models. I have been involved with the majority of models to hold the title “largest open source GPT model in the world” and have dabbled in exploring using plagiarism detection tools to identify code written by GPT-J.

dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)

It is true that Emad needs to find an appropriate business model. The good news is that the hype is still undergoing. I'm sure that Emad can grab another round of liquidity injection. He got plenty of resources. Remember he is also from the finance industry. He got https://www.eleuther.ai/ which can supply a secured, in-house custom LLM equivalent to bloombergGPT.

By promoting fully open-source AI, i.e. making datasets, models, methodology and codebases freely available and transparent. What OpenAI claimed to be aiming for, basically.