Fine Tune LLMs OPENAI
Free Download Fine Tune LLMs OPENAI
Published 7/2024
Created by Rahul Kumar
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lectures ( 3h 49m ) | Size: 2.1 GB
Fine Tune LLMs OPENAI Business Data
What you'll learn:
Fine Tune OpenAI models
Fine Business data
Fine Tune Chat Assistant data
Fine Tune Wikipedia Data
Fine Tune Customer assistant Data
Requirements:
Python
Description:
Course Description:Unlock the potential of OpenAI's language models in this hands-on course designed for beginners and enthusiasts alike. Whether you're a tech newbie or a seasoned developer, you'll learn how to fine-tune OpenAI's powerful language models to meet your unique needs.We'll start with the basics, introducing you to language models and their capabilities. You'll explore how these models work and why fine-tuning them can make a huge difference in performance. Through step-by-step guidance, you'll learn how to prepare data, set up your environment, and start the fine-tuning process.In this course, you'll get to:Understand the fundamentals of OpenAI's language models.Learn about different applications and use cases for fine-tuned models.Prepare and preprocess your data for effective fine-tuning.Set up the necessary tools and environment for model fine-tuning.Execute the fine-tuning process, with easy-to-follow instructions.Evaluate and test your fine-tuned model to ensure it meets your expectations.Implement your model in real-world applications.Our hands-on exercises and practical projects will help solidify your understanding and give you the confidence to create models that can generate text, answer questions, and much more. By the end of the course, you'll have a fine-tuned model tailored to your specific needs and the skills to continue exploring the exciting world of AI.Join us and take the first step towards becoming an AI creator!
Who this course is for:
Fine Tune LLMs Open AI model
Homepage
https://www.udemy.com/course/fine-tune-llms-openai/No Password - Links are Interchangeable
