Fine-Tuning Large Language Models
Master the art of fine-tuning large language models for tasks like text classification, translation, and summarization. Take your AI skills to the next level by customizing LLMs for specific domains and real-world applications.
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Contact our teamWhat will you learn?
Dive into the world of Large Language Models (LLMs) and discover how to customize pre-trained models like GPT and BERT to perform domain-specific tasks. Learn fine-tuning techniques, understand the power of transfer learning, and explore real-world use cases in industries like healthcare and finance. With hands-on labs and expert tools like Hugging Face Transformers, you will gain practical skills to fine-tune LLMs efficiently, adapt them to your needs, and create powerful AI solutions.
Key takeaways
- Understand GPT, BERT, and transformer models
- Master fine-tuning techniques for LLMs
- Leverage transfer learning for efficiency
- Apply LLMs to domain-specific tasks
- Gain hands-on experience with Hugging Face
Program
- Understanding LLMs and Transformers: Dive into the architecture of GPT, BERT, and transformers to grasp their potential.
- Fine-Tuning Techniques: Learn methods to customize LLMs for downstream tasks and improve their performance.
- Transfer Learning Applications: Explore how pre-trained models can save time and resources for domain-specific tasks.
- Use Cases in Industries: Analyze real-world applications of LLMs in sectors like healthcare, finance, and education.
- Hands-on Labs: Practice fine-tuning LLMs using Hugging Face Transformers and Python.
Who is it for?
This training is designed for AI professionals, data scientists, and developers who want to master fine-tuning LLMs for specific tasks. It is perfect for those seeking advanced AI skills and practical knowledge to customize models for industry-specific applications.
Requirements
Basic knowledge of LLMs is beneficial.
Why should I do this training?
Expert-led guidance
Learn from seasoned professionals with hands-on labs.
Industry-relevant skills
Master techniques used in leading AI applications.
Real-world focus
Apply LLMs to practical and impactful use cases.
What does it look like?
What else
should I know?
After registering, you will receive a confirmation email with practical information.
See you soon!
Course information
Available remotely or in-person
Duration: 14-16 hours
Hands-on exercises with real repositories
Tools include Hugging Face, PyTorch, and TensorFlow
Suitable for AI professionals and data scientists
Combines theory with hands-on practice
