Udemy – LLM – Fine tune with custom data 2024-3
Udemy – LLM – Fine tune with custom data 2024-3 Downloadly IRSpace

LLM – Fine tune with custom data, If you’re passionate about taking your machine learning skills to the next level, this course is tailor-made for you. Get ready to embark on a learning journey that will empower you to fine-tune language models with custom datasets, unlocking a realm of possibilities for innovation and creativity. In this opening section, you’ll be introduced to the course structure and objectives. We’ll explore the significance of fine-tuning in enhancing language models and delve into the foundational models that set the stage for customization. Discover the reasons behind the need for fine-tuning and explore various strategies, including an understanding of critical model parameters. Gain a comprehensive understanding of the fundamental principles and advanced concepts in artificial intelligence and language modeling. This section focuses on practical applications. Survey available models and their use cases, followed by essential steps in preparing and formatting sample data. Understand token counting and navigate potential pitfalls like warnings and cost management. Gain a comprehensive understanding of the fine-tuning process, differentiating between training and validation data. Learn to upload data to OpenAI, create a fine-tune job, and ensure quality assurance for your model.
What you’ll learn
- Understanding Fine tuning vs training data
- Fine tune using GPT models, GPT 3.5 Turbo models, Open AI models
- Preparing, creating, and uploading training and validation datasets
- Fine tuning using Gradient Platform
- Create Elon Mush Tweet Generator
- Build a data extraction fine-tune model
Who this course is for
- Anyone who want to explore the world of AI
- Anyone who want to step into AI world with practical fine tuning models
- Data engineers, database administrators and data professionals curious about the emerging field of model fine tuning
- Software developers interested in integrating their own data into large language models
- Data scientists and machine learning engineers.
Specificatoin of LLM – Fine tune with custom data
- Publisher : Udemy
- Teacher : Adnan Waheed
- Language: English
- Level : Beginner
- Lectures : 48
- Duration : 5 hours and 22 minutes
Content
Requirements
- Basic python knowledge
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Version 2024/3 has increased the number of lessons by 20 and the duration by 2 hours and 7 minutes compared to version 2024/2. The course quality has also been reduced from 1080p to 720p and subtitles have been added.
Download Links
File size
1.68 GB