Mistral AI is introducing its open generative models to developers, providing them with efficient ways to deploy and customize the models for production. They are offering a beta access to their platform services, which include chat endpoints for generating text and an embedding endpoint. The chat endpoints, mistral-tiny, mistral-small, and mistral-medium, use different models with varying performances. Mistral-embed is their embedding endpoint with retrieval capabilities. Their API follows the specifications of a popular chat interface and they provide client libraries for Python and Javascript. Mistral AI is gradually increasing their capacity and welcomes users to register for API access.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Mistral AI platform services | Introduction of new AI platform services | Improved and more customizable AI models | Meeting developer needs |
| Generative endpoints | Offering different endpoints for generating text | More diverse and efficient text generation | Increasing demand for text generation |
| Pre-trained and instructed models | Consolidation of alignment techniques in models | Easier control and use of AI models | Improving model performance |
| Mistral-tiny endpoint | Cost-effective endpoint serving Mistral 7B Instruct | Enhanced AI performance in English | Cost efficiency |
| Mistral-small endpoint | Endpoint serving Mixtral 8x7B model in multiple languages | AI models with multi-language proficiency | Language versatility |
| Mistral-medium endpoint | High-quality endpoint with prototype model | Top-performing AI models | High-performance requirements |
| Embedding endpoint | Introduction of an embedding model endpoint | Advanced retrieval capabilities | Improved data retrieval |
| API specifications | Following popular chat interface specifications | User-friendly AI model interaction | Enhanced user experience |
| Ramping up to general availability | Expansion of API access and platform stability | Increased accessibility and stability | Meeting user demand |
| Acknowledgement | Gratitude to NVIDIA for support and collaboration | Collaborative development and integration | Strengthening partnerships |