Description
This document provides a hands-on tutorial for working with Large Language Models (LLMs) using Google Colab. It covers the entire workflow, from setting up the environment to fine-tuning and evaluating a pre-trained model such as GPT-2 or GPT-3 using the Hugging Face transformers library.
Course Curriculum
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- 1. Set Up Your Environment
- 2. Preparing the Training File to train the model.
- 3. Example File Creation
- 4. Find the File Path
- 5. Verify the File Path
- 6. Import Necessary Libraries
- 7. Load Pre-Trained LLM
- 8. Generate Text
- 9. Fine-Tune the Model (Optional)
- 10. Evaluate Model Performance
- 11. Advanced Analysis (Optional)
- 12. Summarize and Interpret Findings
- 13. Save and Share the Notebook
- 14. References
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