With the arrival of Mixtral 8x7B, a model developed by Mistral AI, generative AI has taken another step forward. This innovation represents a significant advance in the field of language models, and positions itself as a serious rival to giants such as OpenAI’s GPT-4. 
What are Mixtral’s distinctive features, and how is this French model changing the way AI is used?
Find out in this article.
What is Mistral AI?
This is the story of 3 Frenchmen, Arthur Mensch, Guillaume Lample and Timothée Lacroix, who founded Mistral AI, a French company based in Paris.
With the announcement of Mixtral 8x7B, these AI pioneers are boldly positioning themselves against industry giants like OpenAI, creating a remarkable buzz in the community.
The evolution of Mixtral from its earliest stages of conception to its market introduction demonstrates Mistral AI’s innovative vision and commitment to the accessible, high-performance AI.
What is the Mixtral model?
Mixtral is positioned as a powerful tool in the field of AI because of its ability to adapt and be creative.
Mixtral stands out first and foremost as a language model that is widely accessible to all.
The availability of the “Open wight” model reinforces this openness.
This allows users to download, experiment and adapt Mixtral to their own needs, opening up new routes for research and practical application.
Mixtral also stands out for its linguistic versatility in French, German, Spanish, Italian and English, as well as its ability to perform complex programming and data analysis tasks.
Its architecture
The Mixtral 8x7B an innovative architecture called “mixture of experts” (MoE), which is a revolutionary advance in transformer models.
To enable Mixtral to achieve exceptional performance, this model integrates eight expert models into a single framework.
Its limits
Although Mixtral 8x7B offers remarkable advances, it does have its limitations.
Despite the fact that being a smaller tool is beneficial for speed and cost, it is still unable to handle extremely complex tasks or understand deep language nuances, compared to larger models like GPT-4.
What’s more, Mixtral may take some time to develop and establish a solid base of use and research, as it is relatively new.
How do I use Mixtral?
Depending on your needs, Mistral AI offers two ways of accessing its language models:
- Access via API: Mistral AI offers a beta API for access to its latest models.
Simply join the waiting list and get an active subscription to access it.
You can then use the API to perform natural language processing tasks. - Download raw model weights: Mistral AI’s raw model weights can now be downloaded.
This enables you to use them for stand-alone deployments, research projects or even local deployments on consumer hardware.
Mixtral, an alternative to ChatGPT?
So if we have to answer the question of whether Mixtral is the best alternative to Chat GPT, we’ll tell you that it depends on the user’s unique needs.
Mixtral is a solid option for those looking for a more affordable, less resource-intensive solution capable of handling multilingual tasks and long sequences of tokens.
However, larger models like GPT-4 may be more appropriate for tasks requiring very deep linguistic understanding and extensive versatility.
What does the future hold for Mixtral?
Mistral is not only a springboard to the future, but also a current breakthrough in AI. Mixtral intends to play a major role in the evolution of artificial intelligence.
Mixtral’s potential is immense, whether as a catalyst for the accessibility and democratization of AI, or as an innovation in specific sectors. Models like Mixtral promise an exciting and revolutionary future for AI. Good to know Infomaniak’s new generative AI integrates a Mixtral LLM API service to boost user productivity while retaining full control of their data.
