Descriptions
LLM – fine tuning using user data. If you want to take your machine learning skills to the next level, this course is designed just for you. Get ready to embark on a learning journey that will give you the ability to fine-tune language models using custom datasets, opening up a world of possibilities for innovation and creativity. This introductory section will introduce you to the structure and objectives of the course. We’ll explore the value of fine-tuning for improving language models and delve into the underlying models that provide the foundation for tuning. Understand the reasons for the need for fine tuning and explore various strategies, including understanding the critical parameters of the model. Gain a thorough understanding of the fundamental principles and advanced concepts of artificial intelligence and language modeling. This section focuses on practical application. Explore the available models and their use cases, then take the important steps to prepare and format your sample data. Understand token counting and overcome potential pitfalls such as warnings and cost management. Gain complete insight into the fine-tuning process by distinguishing between training and validation data. Learn to load data into OpenAI, fine-tune jobs, and ensure quality control of your model.
What will you learn
- Understanding fine tuning and training data
- Fine tuning using GPT models, GPT 3.5 Turbo models, Open AI models.
- Prepare, create and load datasets for training and validation.
- Fine tuning using a gradient platform
- Create an Elon Mush Tweet Generator
- Create a fine-tuning model for data extraction.
Who is this course for?
- Anyone who wants to explore the world of artificial intelligence
- Anyone who wants to enter the world of artificial intelligence with practical fine-tuning models.
- Data engineers, database administrators, and data scientists are interested in the new area of fine-tuning models.
- Software developers interested in integrating their own data into large language models.
- Data Scientists and Machine Learning Engineers.
LLM Specification – Fine Tuning Using User Data
- Publisher: Udemy
- Teacher: Adnan Waheed
- English language
- Level: Beginner
- Number of courses: 28
- Duration: 3 hours 15 minutes.
Content for 2024-3
Requirements
Images
Sample clip
Installation instructions
Extract the files and watch on your favorite player
Subtitles: Not available
Quality: 1080p
Download links
Password file(s): free download software
file size
1.86 GB