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In this video, I'll be telling you about the new Ministral (3B & 8B) Models by Mistral AI and we'll be fully testing them as well. This is a new fully Opensource Model that we can host locally as well. It is also claimed to be better in Coding Tasks and is also really good at doing Text-To-Application, Text-To-Frontend and other things as well. I'll be testing it to find out if it can really beat other LLMs and i'll also be telling you that how you can use it. This models beats Qwen-2, Llama-3.2, Mistral, GPT-4O-Mini and Others!
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Key Takeaways:
📈 Major AI Model Releases: The video covers two exciting AI releases, Nvidia Nemotron and Mistral Ministral, comparing them to Claude 3.5 and Llama-3.1 models. Stay updated on the latest in LLM advancements!
⚡ Ministral's New AI Models: Discover the 3B and 8B Ministral models, which feature function calling and a huge 128K context length, pushing boundaries in AI model performance.
💡 Benchmark Controversy: Dive into the benchmarking issues of Mistral’s models and why their "Knowledge and Commonsense" benchmark might be a little misleading. AI benchmarks are crucial, but manipulation is common.
🚀 Open-Source AI: While the 8B model is open-source, the 3B model is restricted to API-only access, leaving developers with limited options for experimentation. Learn more about the Mistral Research License.
💻 Coding Test Results: This video tests the 8B model against various coding challenges, such as building a confetti button and Python scripts, revealing its chain-of-thought reasoning and effectiveness in solving problems.
📊 AI Model Performance Comparison: A detailed comparison between Ministral, Llama-3.1, and Qwen-2.5, showing how Ministral holds its own in certain areas but falls short in cultural and general knowledge.
🎥 Upcoming AI Content: Stay tuned for a deep dive into the Nvidia Nemotron model, which promises to be a game-changer in the AI space. Don't miss out on these valuable insights!
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Timestamps:
00:00 - Introduction
00:46 - About Ministral
03:09 - Testing
07:57 - Final Results & Charts
09:20 - Ending
