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Mistral Advances Generative AI with Model Customization and New Tools

A modern illustration showing a developer's workspace with a computer screen displaying code and AI model customization tools. The background features elements representing generative AI, including data charts, algorithms, and digital agents. The scene conveys the theme of building, tweaking, and repeating in AI development, focusing on innovation and customization.

Mistral Advances Generative AI with Model Customization and New Tools

Language models are transforming software development, acting as versatile orchestrators between knowledge sources and user interfaces. However, developing such software introduces challenges like improving quality, reducing latency, and rapid prototyping. Mistral is announcing several advancements to address these challenges.

Customizing Language Models

As large language models find new and specialized use cases, it is essential for developers to quickly and efficiently tailor these models to specific applications. Mistral is now offering customization capabilities for all flagship and specialist models on La Plateforme, including Mistral Large 2 and Codestral.

Methods for Model Customization

Developers can customize models using a base prompt, few-shot prompting, or fine-tuning, with the option to use their own datasets. Mistral’s AI science team has developed techniques for creating strong reference models, ensuring similar performance from fine-tuned models. This customization enables the integration of generative AI capabilities into applications with specific domain knowledge, context, or tone.

Unlocking New Applications

Fine-tuning these highly capable models is expected to lead to groundbreaking applications. Developers are encouraged to explore the fine-tuning documentation and try model customization on La Plateforme.

Introducing Agents

Mistral is also introducing an early version of Agents, which wrap models with additional context and instruction for use on Le Chat or via API. Agents allow for the creation of custom behaviors and workflows using simple instructions and examples. With the advanced reasoning capabilities of Mistral Large 2, developers can create complex workflows with multiple agents that are easy to share within their organization. Mistral is working on connecting Agents to tools and data sources and is seeking feedback on this feature.

MistralAI Library Updates

Significant updates have been made to the MistralAI library to improve usability and consistency. Mistral is releasing MistralAI 1.0, available for both Python and Typescript. Developers can learn more about the new SDK and check out the migration guide.