The video introduces Mistral Small 3, a new 24 billion parameter open-source AI model designed to compete with larger models while offering a powerful and efficient alternative for various applications. It emphasizes the model’s accessibility, versatility in language support, and practical capabilities, making it suitable for both personal and cloud-based deployments.
The video discusses the release of Mistral’s new model, Mistral Small 3, which is positioned as a significant advancement in the open-source AI landscape. While other companies like Deep Seek and Invidia have garnered attention, the video emphasizes the importance of open-source models in driving innovation. Mistral Small 3 is a 24 billion parameter model that aims to compete with larger models like Llama 3 and Quen, offering a powerful yet efficient alternative for users seeking a reliable workhorse model.
Mistral has released both a base and a fine-tuned version of the model under the Apache 2 license, allowing users to modify and deploy it freely. The model features a 32k context window from the outset, which is a notable improvement over previous models that required additional fine-tuning for longer contexts. Although it is not a fully multilingual model, it supports several Western European languages as well as Chinese, Japanese, and Korean, making it versatile for various applications.
The video highlights the model’s focus on agentic uses, such as function calling and structured outputs, which are integrated into the model from the beginning. Mistral aims to strike a balance between performance and accessibility, allowing users to run quantized versions on personal devices while still being capable of high-performance deployment in cloud environments. This approach caters to a wide range of users, from those needing private chat solutions to those requiring robust cloud-based applications.
The presenter tests the model’s capabilities using a simple code setup, demonstrating its ability to provide clear and concise answers, adapt to different personas, and generate structured outputs. While the model is not positioned as the most advanced in terms of intelligence, it excels in delivering quick and accurate responses, making it suitable for everyday tasks. The video also notes that the model performs well in function calling scenarios, showcasing its practical applications.
Overall, the Mistral Small 3 model is presented as a promising addition to the open-source AI ecosystem, reinforcing the importance of accessible and modifiable models. The video encourages viewers to explore the model’s capabilities and consider its potential for various applications, suggesting that it could serve as a cost-effective solution for many users. The presenter invites feedback from the audience regarding their intended uses for the model, hinting at a future where a mix of high-end and more affordable models will coexist in the AI landscape.