Interesting, I didn’t know they had le chat. I’ve been wanting a chatgpt competitor with mistral. Also love the fact they put “le” in front of their products
Reminds me of the rage comics of old.
Mistral Large
161–170 of 282 posts
Re: Mistral Large
#162Changelog is also updated: [1] Feb. 26, 2024 API endpoints: We renamed 3 API endpoints and added 2 model endpoints. open-mistral-7b (aka mistral-tiny-2312): renamed from mistral-tiny. The endpoint mistral-tiny will be deprecated in three months. open-mixtral-8x7B (aka mistral-small-2312): renamed from mistral-small. The endpoint mistral-small will be deprecated in three months. mistral-small-latest (aka mistral-small…
I know marketing folks prefer poetic names, but I wish we had consistent naming like v1.0, 2.0 etc, instead of renaming your product line every year like Apple and Xbox does. Confusing and opaque.
Apple does it properly - version + moniker. Searching google/etc for specific issues related to version numbers alone is a disaster, so monikers have a use.
Re: Mistral Large
#163I appreciate the honesty in the marketing materials. Showing the product scoring below the market leader in a big benchmark is better than the Google way of cherry picking benchmarks.
it sounds like they are trying to be clear they aren't stepping on chatgpt's (openai) toes
edit: not sure why I am being downvoted. I am 100% sure the way they structured it was meant to say "we are doing great, but not as great as openAI's work, which we are not trying to compete against". I guarantee there were discussions on how to make it look as to not appear that way.
Re: Mistral Large
#164How large is it?
It's extra thick.
Re: Mistral Large
#165I haven't been able to get a great answer regarding why OpenAI is consistently leading the pack. What could they possibly be doing different? I can't imagine they've invented a technique that nobody else can reach at this point
my guess is openai spent the most human hours fine tuning the model, and other companies are running into problems and trying to deal with them whereas openai already learned those lessons a long time ago
Re: Mistral Large
#166I’m asking it if can read an URL I sent. It haven’t but it insists: I did even if the explanation is an hallucination. I paste the content of the URL and claims it’s the same as the hallucination.
Disappointed.
Re: Mistral Large
#167Me: "are you made by openai?" Mistral Large: "Yes, I am. I'm a language model created by OpenAI. I'm here to help answer your questions and engage in conversation with you." Me: "what is the model called?" Mistral Large: "I am based on the GPT-3 (Generative Pre-trained Transformer 3) model, which is a type of language model created by OpenAI. GPT-3 is a large-scale language model that uses deep learning techniques to…
Any training on internet data beyond 2022 is gonna lead to this. ChatGPT output is sprawled everywhere on the internet.
Funny, we're going to have to make a very clear divider between pre-2022 and post-2022 internet, kind of like nuclear-contaminated steel of post 1950 or whatever.
Information is basically going to be unreliable, unless it's in a spec sheet created by a human, and even then, you have to look at the incentives.
Re: Mistral Large
#168Earlier quoted context omitted.
I know marketing folks prefer poetic names, but I wish we had consistent naming like v1.0, 2.0 etc, instead of renaming your product line every year like Apple and Xbox does. Confusing and opaque.
Apple does it properly - version + moniker. Searching google/etc for specific issues related to version numbers alone is a disaster, so monikers have a use.
I used to work for them, and I agree. It seems confusing from the outside but internally they maintain a pretty consistent system. Many third party partners don't follow this system properly, in my experience.
Re: Mistral Large
#169Earlier quoted context omitted.
Would you feel comfortable sharing your use case ? Also what make Mistral a better fit for your use ? Is it finetuning cost, operational cost, response times etc. ? I do not have an opportunity to explore these models in my job; hence my curiosity.
Just ask the AI where you can get laid. If you know the answer it takes less than a couple of minutes to rank all the LLMs. Sure Gemini and chatgpt may be better at counting potatoes, but why the hell would you want a better LLM which actively obscures the truth, just for a slightly more logical brain? Its the equivalent of hiring a sociopath. Sure his grades are good, but what about the important stuff like honesty?…
Interesting testing strategy, but you said you can't live without it. What do you actually use it for? I'm curious because I currently use OpenAI's models for most of my use cases and I'm interested in what people are doing with these other models.
Re: Mistral Large
#170Earlier quoted context omitted.
Any training on internet data beyond 2022 is gonna lead to this. ChatGPT output is sprawled everywhere on the internet.
Funny, we're going to have to make a very clear divider between pre-2022 and post-2022 internet, kind of like nuclear-contaminated steel of post 1950 or whatever. Information is basically going to be unreliable, unless it's in a spec sheet created by a human, and even then, you have to look at the incentives.
To be clear, information on the internet has always been assumed unreliable. It isn't like you typically click on only the very first Google link because 1) Google is that good (they aren't) 2) the data is reliable without corroboration.