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Mistral AI Releases Forge

mistral.ai

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Re: Mistral AI Releases Forge

#71

Post by kioleanu »

I like Mistral, it hits the exact sweet spot between cost and my data staying in the EU, withouth a significant drop in quality, but man are their model naming conventions confusing af. They mention they have a model called Devstral 2, which is neither Codestral nor Devestral. I want to use it, but the api only lists devstral-2512, devstral-latest, devstral-medium-latest, devstral-medium-2507, devstral-small, devstral-small-2507.

I think, devstral-latest should be it, no? So I write to support and get an answer 12 hours later that says oh, no, devstral 2 is definetely called devstral 2 and then a page of instructions on how to set it up in Intellij... generated with AI. The screens it is refering to don't exist and never did.

Re: Mistral AI Releases Forge

#72

Post by prophesi »

CharlesW wrote: post #14
baby wrote: post #12

Earlier quoted context omitted.

[flagged]

[flagged]

Not OP, but...

> Of course you would have to set a temperature of 0 to prevent abuse from the operator, and also assume that an operator has access to the pre-prompt

Doesn't the fact that LLM's are still non-deterministic with a 0 temperature render all of this moot? And why was I compelled to read a random blog post on the unsolved issue of validating natural language? It's a SQL injection except without a predetermined syntax to validate against, and thus a NP problem we've yet to solve.

Re: Mistral AI Releases Forge

#73

Post by AdamN »

utopiah wrote: post #70
schubidubiduba wrote: post #68

Earlier quoted context omitted.

They use those because the decision to use them was made years ago. Things have changed since then

I want to believe... but I also need proofs of that "trend", any reference I could read on please?

It's definitely a topic of conversation in Reddit, etc... However I agree that the push to reduce US dependence by EU companies (and countries) is hampered by the fact that US stuff is already embedded (Microsoft but also Google, etc...) and that many of these companies are transnational anyway (very few European companies are solely inside the EU) and finally and most importantly just about every company will choose the option that does the job best for the right price (sovereignty is a distant second for most decision makers).

Re: Mistral AI Releases Forge

#74

Post by zby »

Centigonal wrote: post #54
zby wrote: post #52

My bet is that the solution to continuous learning is with external storage. There is a lot of talk about context engineering - but I have not seen anyone taking context as the main bottleneck and building a system around that. This would show that even context engineering is kind of wrong term - because context does not enter the llm in some mysterious way - it goes through prompt and the whole model of passing chat…

What do you mean when you say "external storage?"

A knowledge base - something where the LLM knows how to find the knowledge it needs for a given task. I am working on this idea in https://zby.github.io/commonplace/

Re: Mistral AI Releases Forge

#75

Post by spiderfarmer »

utopiah wrote: post #70
schubidubiduba wrote: post #68

Earlier quoted context omitted.

They use those because the decision to use them was made years ago. Things have changed since then

I want to believe... but I also need proofs of that "trend", any reference I could read on please?

While few companies announce this publicly, I know from personal experience with corporate clients that many companies are preparing for Trump to use Big Tech as a bargaining chip.

And they should. Because the US is not behaving rationally at all.

https://nltimes.nl/2026/02/10/rabobank-ing-abn-amro-seek-eur...

https://www.theregister.com/2025/11/13/gartner_cio_cloud_sov...

https://www.independent.co.uk/news/world/europe/europe-zoom-...

https://www.theglobeandmail.com/business/commentary/article-...

https://sherwood.news/tech/europe-wants-to-break-up-with-us-...

Re: Mistral AI Releases Forge

#77

Post by zby »

mhl47 wrote: post #60
zby wrote: post #52

My bet is that the solution to continuous learning is with external storage. There is a lot of talk about context engineering - but I have not seen anyone taking context as the main bottleneck and building a system around that. This would show that even context engineering is kind of wrong term - because context does not enter the llm in some mysterious way - it goes through prompt and the whole model of passing chat…

"External Storage" whatever that is can not be the same as continous learning as it does not have the strong connections/capture the interdepencies of knowledge. That said I think we will see more efforts also on the business side to have models that can help you build a knowledge base in some kind of standardized way that the model is trained to read. Or synthesize some sort on instructions how to navigate your know…

The key to make Copilot useful is to take the limited context problem seriously enough. There are many dimensions to it: https://zby.github.io/commonplace/notes/context-efficiency-i... and it should be the starting point for designing the systems that extensively use llms.

Re: Mistral AI Releases Forge

#78

Post by menaerus »

nathanappere wrote: post #59
charcircuit wrote: post #13

Earlier quoted context omitted.

Using tools and skills to retrieve data or files is anything but dead.

I think people just mean "using vector databases to enable RAG".

Even that doesn't make sense. Why would you not build a vector database to complement your RAG engine?

Re: Mistral AI Releases Forge

#79

Post by Aldipower »

I cannot keep up with their products, model names and releases. What is what for? Their marketing texts do not make sense for me. Is there a nice overview somewhere?

I am a simple stupid Le Chat user with a small mind and the Tredict MCP Server connected to it (to Le Chat, not my mind), which works ok-ish. :-)

Re: Mistral AI Releases Forge

#80

Post by charcircuit »

menaerus wrote: post #78
nathanappere wrote: post #59

Earlier quoted context omitted.

I think people just mean "using vector databases to enable RAG".

Even that doesn't make sense. Why would you not build a vector database to complement your RAG engine?

For coding use cases you may want a way to search for symbols themselves or do a plain text exact match for the name of a symbol to find the relevant documents to include. There is more to searching than building a basic similarity search.
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