The French startup Mistral AI presented its first models of generative artificial intelligence designed to function on such devices as laptops and smartphones.
The new family of machine intelligence models is called Les Ministraux. These digital products can be used or tuned for various tasks, including, among others, the generation of basic text for a joint operation with more advanced artificial intelligence configurations to complete tasks.
The new family of generative AI models includes two products, among which are the Ministral 3B and the Ministral 8B. Each of the mentioned machine intelligence models has a context window of 128,000 tokens. This means that these digital products can ingest approximately the length of a 50-page book.
In a post published on the Mistral AI blog, it was noted that the startup’s most innovative customers and partners are increasingly been asking for local, privacy-first inference for critical apps, including on-device translation, smart virtual assistants that function without an Internet connection, local analytics, and autonomous robotics.
The Ministral 8B is already available for download, but only for research purposes. The startup requires developers and companies interested in the self-deployment setups of the Ministral 8B or Ministral 3B to contact to it for a commercial license.
Developers can also use the mentioned machine intelligence models through the Mistral La Platform cloud platform and other clouds with which the company has partnered in the coming weeks. The Ministral 8B costs 10 cents per million output/input tokens (~750,000 words). The Ministral 3B costs 4 cents per million withdrawal/input tokens.
It is worth noting that during the period of active development and spread of artificial intelligence, the issue of cybersecurity is becoming more relevant. Scammers also have access to AI technologies, which is why their activities have become more sophisticated. One of the tools to counter this threat in the cybersecurity area is the personal awareness of users. For example, a query in an Internet search engine, such as how to know if my camera is hacked, will allow anyone to get information about signs of unauthorized access to the device.
Serhii Mikhailov
Serhii’s track record of study and work spans six years at the Faculty of Philology and eight years in the media, during which he has developed a deep understanding of various aspects of the industry and honed his writing skills; his areas of expertise include fintech, payments, cryptocurrency, and financial services, and he is constantly keeping a close eye on the latest developments and innovations in these fields, as he believes that they will have a significant impact on the future direction of the economy as a whole.
