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Comment by Maxion | Hacker News Reader

Lol that's why it's hidden in a PDF.

They basically announced GPT 3.5, then. Big woop, by the time Ultra is out GPT-5 is probably also out.

Isn't having GPT 3.5 still a pretty big deal? Obviously they are behind but does anyone else offer that?

3.5 is still highly capable and Google investing a lot into making it multi modal combined with potential integration with their other products makes it quite valuable. Not everyone likes having to switch to ChatGPT for queries.

Yeah, right now the leaderboard is pretty much: GPT4 > GPT 3.5 > Claude > Llama2. If Google just released something (Gemini Pro) on par with GPT 3.5 and will release something (Gemini Ultra) on par with GPT 4 in Q1 of next year while actively working on Gemini V2, they are very much back in the game.

> Yeah, right now the leaderboard is pretty much: GPT4 > GPT 3.5 > Claude > Llama2.

Is it though? I mean, free (gratis) public locally-usable models are more than just "Llama2", and Llama2 itself is pretty far down the HuggingFace open model leaderboard. (It's true a lot of the models above it are Llama2 derivatives, but that's not universally true, either.)

I'd have to disagree a bit - Claude 2 is better than 3.5 in my experience (maybe in benchmarks too, I haven't searched for them specifically), but worse than GPT-4

Obviously they are behind but does anyone else offer that?

Claude by Anthropic is out and offers more and is being actively used

I thought there were some open-source models in the 70-120B range that were GPT3.5 quality?

It depends on what's being evaluated, but from what I've read, Mistral is also fairly competitive at a much smaller size.

One of the biggest problems right now is that there isn't really a great way to evaluate the performance of models, which (among other issues) results in every major foundation model release claiming to be competitive with the SOTA.

Measuring LLM quality is problematic (and may not even be meaningful in a general sense, the idea that there is a measurable strict ordering of general quality that is applicable to all use cases, or even strongly predictive of utiity for particular uses, may be erroneous.)

If you trust Winogrande scores (one of the few where I could find GPT3.5 and GPT4 [0] ratings that is also on the HuggingFace leaderboard [1]), there are a lot of models between GPT3.5 and GPT4 with some of them being 34B parameter models (Yi-34b and its derivatives), and una_cybertron_7b comes close to GPT3.5.

[0] https://llm-leaderboard.streamlit.app/

[1] https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderb...

Yup, it's all a performance for the investors

+1. The investors are the customers of this release, not end users.

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