Mistral Small but Mighty - Apache 2.0, Multimodal & Fast

Exploring Mistral Small 3.1: The Latest Open-Source AI Model In this video, I dive into the features and benchmarks of Mistral Small 3.1, a new open-source, multimodal, and multilingual model. I compare it with Google's Gemma 3, showcase its context window, latency, and multilingual abilities, and provide examples of its performance in text classification and image understanding. LINKS: https://colab.research.google.com/drive/1G0RJx3_omAWNTCWb5KFrUwXw7gBLJbxS?usp=sharing RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag https://mistral.ai/news/mistral-small-3-1 https://docs.mistral.ai/getting-started/models/models_overview/ https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Instruct-2503 https://docs.google.com/document/d/1ja4xYm985hH6pmfioYbeRoFMTBwbADKq-shHeUzcYTg/edit?usp=sharing Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 💡 Don't forget to Like, Subscribe & Hit the Bell 🔔 for more AI deep dives! Supercharge Your RAG Pipeline with DeepSeq R1: A Step-by-Step Guide 00:00 Introduction to Mistral Small 3.1 00:27 Model Overview and Benchmarks 01:40 Multimodal and Multilingual Capabilities 02:28 Performance on Long Context Tasks 03:59 Getting Started with Mistral Small 3.1 04:17 System Prompt and Usage Guidelines 07:27 API Interaction Examples 09:47 Image and OCR Capabilities 13:51 Conclusion and Future Plans