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Mistral AI Releases Forge

mistral.ai

151–160 of 210 posts

Re: Mistral AI Releases Forge

#151
post #40

Don't sleep on Mistral. Highly underrated as a general service LLM. Cheaper, too. Their emphasis on bespoke modelling over generalized megaliths will pay off. There are all kinds of specialized datasets and restricted access stores that can benefit from their approach. Especially in highly regulated EU. Not everyone is obsessed with code generation. There is a whole world out there.

I use a pretty lightweight local Mistral model in LM studio for both creative and technical writing/iterating and it’s fantastic.

Re: Mistral AI Releases Forge

#152
post #143

Earlier quoted context omitted.

They offer self-hosted models for big corporate customers. I would also expect those serious about the security of their data to use that option. So you would never get the usage of those customers

If you are a company based in Europe it is silly to give your data security and privacy to a company based in Europe. If you are in Iran, you don't want to give your data to your government. If you are in France, you don't want to give your data to your government. etc If you are in France, and you host your e-mails in a datacenter in Hong-Kong, well good luck for the authorities to get it. If you host it in "secure…

> well good luck for the authorities to get it.

"We want your data on X, here;'s a warrant."

"No."

"You are now under arrest for contempt of court."

People have some oddly silly views on what government can and can't do to people living in their territories.

And companies really really don't care if the government has their data.

> host your e-mails in a datacenter in Hong-Kong

Now China has it, gives it a competitor in China and your market share drops like a stone. Congrats! Great choice!

Re: Mistral AI Releases Forge

#153

Interesting. Does this actually scale though ? I've never seen enterprises which have "internal knowledge" in proper readable form - it's often in code, and more importantly in people who wrote them. I recall that even at Google - with its own search engine and so on - the best way to understand anything was to read code or to reach out to those who wrote them. I don't know how it works in places that work with the "…

My sense is that it sounds amazing in theory to executives who have never had to themselves look at internal data. In reality the internal knowledge base is a mix of incomplete, inaccurate, self serving lies, out of date and so on. At worst, the data is explicitly biased to hide reality from executives so the AI will look extra good to executives. Of course, a business that makes all tactical decisions based on lies is not going to do well.

Re: Mistral AI Releases Forge

#154

Earlier quoted context omitted.

This sounds like an ideology based reply. Grok is underrated and I think has a better chance of long term success than most. The current growth strategy means (for me) their chat harness is not up to par for serious work. Their API is consistently among the most used on OpenRouter. While I can’t vouch for it myself, I think this is a decent proxy for capability. You can definitely see glimmers of greatness in their c…

Grok is not SOTA, but its so obviously better than Mistral. Mistral is just some European patriotism or something. Grok is nice for asking morally gray questions. ChatGPT will lie in these cases.

What lies have you seen? ChatGPT is the most censored one, but I’ve only seen rejections, not lies.

My other complaint is that ChatGPT ends every response with a teaser to ask more questions.

Re: Mistral AI Releases Forge

#155
post #40

Don't sleep on Mistral. Highly underrated as a general service LLM. Cheaper, too. Their emphasis on bespoke modelling over generalized megaliths will pay off. There are all kinds of specialized datasets and restricted access stores that can benefit from their approach. Especially in highly regulated EU. Not everyone is obsessed with code generation. There is a whole world out there.

If you couldn't use the words Europe to describe why you'd chose Mistral, you'd have no good reasons to choose Mistral. Its just not good. Its bottom floor for LLMs.

> Its bottom floor for LLMs.

What? That's just demonstrably false. The market doesn't consist of 5 providers.

Re: Mistral AI Releases Forge

#157

> Forge enables enterprises to build models that internalize their domain knowledge. Organizations can train models on large volumes of internal documentation, codebases, structured data, and operational records. During training, the model learns the vocabulary, reasoning patterns, and constraints that define that environment. I'm probably really out of date at this point, but my impression was that fine tuning never…

I was under this impression as well - I'd love to hear from someone who's deeper in the know about this!

Re: Mistral AI Releases Forge

#158

How many proprietary use cases truly need pre-training or even fine-tuning as opposed to RAG approach? And at what point does it make sense to pre-train/fine tune? Curious.

I'm thinking stuff like this:

https://denverite.com/2026/03/12/ai-recycling-facility-comme...

You could take a model like the one referenced in the article, retool it with Forge for oh I don't know, compost, and use it to flag batches that contain too much paper for instance.

These kinds of applications would work across industries, basically anywhere where you have a documented process and can stand to have automated oversight.

Re: Mistral AI Releases Forge

#159
post #40

Don't sleep on Mistral. Highly underrated as a general service LLM. Cheaper, too. Their emphasis on bespoke modelling over generalized megaliths will pay off. There are all kinds of specialized datasets and restricted access stores that can benefit from their approach. Especially in highly regulated EU. Not everyone is obsessed with code generation. There is a whole world out there.

The companies I work want onprem models, and no Chinese ones. Does mistral support onprem? ( For a price)

Re: Mistral AI Releases Forge

#160

Earlier quoted context omitted.

I also think that this is the best approach for businesses wanting to adopt AI to automate, streamline, etc their business. The problem they have is that this is not a moat - their approach is easily reproducible. If they can pull ahead in having the most number of pre-trained models (one for this ERP, one for that CRM, etc) and then being able to close sales to companies using these products and sell them on post-tr…

> The problem they have is that this is not a moat - their approach is easily reproducible. My 2ct: Currently the moat may be that they are not US-American which is not reproducible by any of the US alternatives.

Meh, I feel like we are in the "cloud is bad phase" all over again.

Companies will use US ai models without issues in a few years.

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