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Mistral Large 2 vs Llama 3.1 - Coding Test Performance and Capabilities

Offered By: Mervin Praison via YouTube

Tags

Artificial Intelligence Courses Machine Learning Courses Python Courses GPT-4 Courses LLaMA (Large Language Model Meta AI) Courses Code Generation Courses Logical Reasoning Courses

Course Description

Overview

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Explore the capabilities of Mistral Large 2, a powerful AI model with a 128,000 context window, in this comprehensive video analysis. Compare its performance against LLaMA 3.1 (45 billion parameters) and GPT-4.0 across various benchmarks, including code generation, mathematics, and logical reasoning. Discover how Mistral Large 2 excels in multiple programming languages and learn about its applications in AI agents, function calling, and chatting with codebases. Gain insights into the model's safety features, ethical considerations, and its potential for advanced programming tasks and multilingual applications. Follow along as the video demonstrates practical examples and provides key benefits of using Mistral Large 2 in your projects.

Syllabus

Introduction
Programming Tests: Python Challenges
Logical and Reasoning Tests
Safety and Ethical Considerations ️
AI Agents and Function Calling
Chatting with Your Codebase
- Introduction
- Programming Tests: Python Challenges
- Logical and Reasoning Tests
- Safety and Ethical Considerations
- AI Agents and Function Calling
- Chatting with Your Codebase


Taught by

Mervin Praison

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