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Mistral Large vs GPT-4: Practical Benchmarking and LLM Evaluation

Trelis Research via YouTube

Overview

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Explore a practical guide to evaluating Large Language Models (LLMs) in this informative video. Dive into Nicolas Carlini's LLM Benchmark Blog Post and examine the benchmarking results comparing GPT4, Claude, Gemini, and Mistral. Analyze the performance of Mistral Large against Mixtral, OpenChat, and Qwen. Learn how to run custom evaluations using Runpod, and gain valuable insights from the final thoughts presented. Access various resources, including one-click fine-tuning templates, function-calling models, and advanced fine-tuning and inference repositories to enhance your understanding of LLM capabilities and applications.

Syllabus

A practitioner's guide to evaluating LLMs
Nicolas Carlini's LLM Benchmark Blog Post
Benchmarking results of GPT4 vs Claude vs Gemini vs Mistral
Mistral Large vs Mixtral vs OpenChat vs Qwen
Running custom evaluations using Runpod
Final Thoughts

Taught by

Trelis Research

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