In addition,
Finally -depth research multilingual reasoning new: Moreover,
Finally -depth research multilingual reasoning:
The French response is there! Therefore, Mistral muscle his chatbot the cat with features that directly challenge Gemini and Chatgpt.
Mistral takes out the claws (do you have it?)! Furthermore. The French startup of IA has just unveiled an update from her chatbot Le Chat which seriously brings him closer to Openai. Consequently, Google. Similarly,
On the program: “in -depth research” mode. However, native multilingual reasoning, advanced images retouching and above all, a business approach that could well make the difference. Therefore,
This French offensive arrives a few days after the release of Voxral, their first open source audio model. However.
In-depth search mode: anti-perplexity weapon – finally -depth research multilingual reasoning new Finally -depth research multilingual reasoning
The cat finally finally -depth research multilingual reasoning wins its “in -depth research” mode. this functionality that all competitors already offer. Concretely, AI becomes capable of planning, clarifying your needs, searching for the web and synthesizing the data found. Exactly what Perplexity has been doing for months!
The examples given are talking: search for travel with exhaustive analysis of the best plans. or in -depth research for companies.
This feature is available on all levels (free, pro, team and business), but Mistral clearly targets companies with this update.
Multilingual reasoning: the French advantage
Mistral plays his French card with the native multilingual reasoning. So far, the masterful model (their reasoning AI) only worked in English. Now, he natively reasoned in French, Spanish, Japanese and other languages.
Better yet: the cat can change the language during the sentence. For a French company that wants finally -depth research multilingual reasoning new an AI capable of juggling between several languages without losing consistency. it is finally -depth research multilingual reasoning a major asset. Openai and Google can hardly compete in this ground.
This native multilingual approach could attract European companies that do not want to depend on English -centered AI.
Business asset: on -site data
Mistral plays a card that its competitors cannot: the management of sensitive data locally. Unlike Openai (hosted on Azure) and Gemini (based on Google Cloud), the cat can connect to on -site business data.
This approach solves a problem: using AI to analyze internal data without downloading anything in the cloud. For European companies subject to the GDPR or the sensitive sectors, it is a mass argument.
Mistral also adds the “projects”, which make it possible to group discussions, documents and ideas in dedicated spaces. Each project keeps its own library and its parameters. Practical finally -depth research multilingual reasoning new to organize a move, design a functionality or follow Pro projects.
Image retouching also improves with orders such finally -depth research multilingual reasoning as “delete the object”. “place myself in another city”. Retrailing of what Dall-E and Midjourney, or Chatgpt, already offer, but necessary to stay in the race.
Mistral’s bet: proving that an AI “made in France” can compete with American and Chinese juggers.
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