Dive into the world of fine-tuning Mistral AI models with this comprehensive tutorial video. Learn the essentials of fine-tuning, including steps for Mistral 7B and small models, utilizing the Mistral AI Server, creating custom datasets for specific tasks, monitoring training with Weights & Biases, and implementing a user interface with Gradio. Follow along as the video covers environment setup, data preparation and formatting, uploading data to the Mistral AI Server, creating and monitoring fine-tuning jobs, and using the resulting fine-tuned model. Gain practical knowledge to enhance your AI model customization skills and create more tailored solutions for specific applications.
The Ultimate Guide to Fine-Tuning Mistral AI Models
Overview
Syllabus
- Introduction and Overview
- Steps to Fine-Tune Mistral Models
- Setting Up Your Environment
- Preparing and Formatting Data
- Uploading Data to Mistral AI Server
- Creating a Fine-Tuning Job
- Monitoring Job Status
- Using the Fine-Tuned Model
- Implementing User Interface with Gradio
Taught by
Mervin Praison
Related Courses
-
Fine-tuning Language Models for Business Tasks
-
Work with generative artificial intelligence (AI) models in Azure Machine Learning
-
H2O ai Large Language Models (LLMs) - Level 2
-
Fine-Tuning LLM Models - Generative AI Course
-
Fine-Tuning a Local Mistral 7B Model - Step-by-Step Guide
-
Build AI Apps with ChatGPT, Dall-E and GPT-4
