
In the video, I provide a concise overview of Mistral AI's flagship model, 'Mistral Large,' highlighting its key functionalities, such as advanced function calling, multilingual capabilities, and an extended token context window. I delve into its top-tier MMLU ranking, its unique advantages compared to competing models, and its availability on the Azure platform. Additionally, I touch upon pricing, performance benchmarks, and introduce its counterpart, 'Mistral Small,' which shares some features with the larger model. The video concludes with a practical guide on initiating with the Mistral API and mentions complementary tools like Langchain, aiming to equip viewers with essential information to leverage Mistral's AI capabilities effectively. 00:00 Introduction to Mistral Large 00:05 Availability and Ranking of Mistral Large 00:31 Capabilities and Features of Mistral Large 00:42 Function Calling Feature in Mistral Large 01:10 Partnership with Microsoft and Self Deployment Option 01:28 Benchmark Metrics and Performance of Mistral Large 02:00 Introduction to Mistral Small 02:04 Function Calling and JSON Format in Mistral Small 02:31 Getting Started with Mistral API 04:31 Streaming and Other Implementations of Mistral 04:52 Pricing of Mistral Models 04:59 Conclusion and Final Thoughts
Technical content at the intersection of AI and development. Building with AI agents, Claude Code, and modern dev tools - then showing you exactly how it works.
Weekly deep dives on AI agents, coding tools, and building with LLMs - delivered to your inbox.
Free forever. No spam.
Subscribe Free
New tutorials, open-source projects, and deep dives on coding agents - delivered weekly.