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> Can't name one art model you could run on your GPU from a FAANG or OpenAI before SD Google published dozens to promote Tensorflow: https://experiments.withg

> Can't name one art model you could run on your GPU from a FAANG or OpenAI before SD Google published dozens to promote Tensorflow: https://experiments.withgoogle.com/font-map https://experiments.withgoogle.com/font-map https://experiments.withgoogle.com/sketch-rnn-demo https://experiments.withgoogle.com/sketch-rnn-demo https://experiments.withgoogle.com/curator-table https://experiments.withgoogle.com/curator-table https://experiments.withgoogle.com/nsynth-super https://experiments.withgoogle.com/nsynth-super https://experiments.withgoogle.com/t-sne-map https://experiments.withgoogle.com/t-sne-map The list goes on. Many are source-available with weights too. > can't name one LLM with public access before ChatGPT, much less weights available till LLaMA 1. Do any of these ring a bell? - DistilBERT/MobileBERT/DeBERTa/RoBERTa/ALBERT - FNet - GPT2/GPT-Neo/GPT-J - Marian - MBart - M2m100 - NLLB - Electra - T5/LongT5/T5-flan - XLNet - Reformer - ProphetNet - Pegasus That's not comprehensive but may be enough to jog your memory.

refulgentis 3y ago
I understand your point. The gap in communication is we don't mean _literally_ no one _ever_ open-sourced models. I agree, that would be absurd. [1] Companies, quite infamously and well-understood, _did_ hold back their "real" generative models, even from being available for pay. Take a stab at a literal definition: - post-GPT2 LLMs (ex. PALM, PALM2) - art like DaLL-E, Imagen, Parti Loosely, we had Disco Diffusion for art, and GPT-3 for LLMs, and then Dall-E, then Midjourney. That was over an _entire year_, and the floodgates on private ones didn't open till post SD/ChatGPT. [1] thank you for the lengths you went to highlight the best over a considered span of time, I would have just said something snarky :) [2] I did not realize FLAN was open-sourced a month before ChatGPT, that's fascinating: we're stretching a bit, beyond that, IMHO: the BERTs aren't recognizable as LLMs.
- smoldesu 3y ago
  All good. I've also been working on LLMs since 2019-ish, so I wanted to toss a hat in the ring for the underrepresented transformer models. They were cool (eg. dumb), fast and worked better than they had any right to. In a lot of ways they are the ancestors of ChatGPT and Llama, so it's important to at least bring them into the discussion.
- deleted 3y ago
  [deleted]

refulgentis 3y ago

I understand your point. The gap in communication is we don't mean _literally_ no one _ever_ open-sourced models. I agree, that would be absurd. [1] Companies, quite infamously and well-understood, _did_ hold back their "real" generative models, even from being available for pay. Take a stab at a literal definition: - post-GPT2 LLMs (ex. PALM, PALM2) - art like DaLL-E, Imagen, Parti Loosely, we had Disco Diffusion for art, and GPT-3 for LLMs, and then Dall-E, then Midjourney. That was over an _entire year_, and the floodgates on private ones didn't open till post SD/ChatGPT. [1] thank you for the lengths you went to highlight the best over a considered span of time, I would have just said something snarky :) [2] I did not realize FLAN was open-sourced a month before ChatGPT, that's fascinating: we're stretching a bit, beyond that, IMHO: the BERTs aren't recognizable as LLMs.

smoldesu 3y ago
All good. I've also been working on LLMs since 2019-ish, so I wanted to toss a hat in the ring for the underrepresented transformer models. They were cool (eg. dumb), fast and worked better than they had any right to. In a lot of ways they are the ancestors of ChatGPT and Llama, so it's important to at least bring them into the discussion.
deleted 3y ago
[deleted]