https://github.com/eva-kaushik/finetuning-llm

Finetuning-LLM
https://github.com/eva-kaushik/finetuning-llm

finetuning-large-language-models finetuning-llms llm

Last synced: 2 days ago
JSON representation

Finetuning-LLM

• Host: GitHub
• URL: https://github.com/eva-kaushik/finetuning-llm
• Owner: Eva-Kaushik
• Created: 2024-07-18T06:47:05.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-18T07:20:26.000Z (4 months ago)
• Last Synced: 2024-07-18T09:23:26.747Z (4 months ago)
• Topics: finetuning-large-language-models, finetuning-llms, llm
• Language: Jupyter Notebook
• Homepage:
• Size: 5.27 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# 🚀 [Finetuning Large Language Models](https://www.deeplearning.ai/short-courses/finetuning-large-language-models/)

📚 Welcome to the "Finetuning Large Language Models" course! Learn the ins and outs of finetuning Large Language Models (LLMs) to supercharge your NLP projects.

## Course Summary

📖 This short course will equip you with the essential knowledge and skills to harness the power of finetuning in Large Language Models. Whether you are looking to fine-tune models for specific tasks or domains, this course covers it all.

You'll learn:

1. 🔍 **Why Finetuning**: By finetuning, you have the ability to adapt the model to your specific needs, update neural net weights, and improve the model's performance beyond traditional methods.



 

 



2. 🏗️ **Where Finetuning fits in**: Gain insights into when and why you should apply finetuning to LLMs for optimal results.



 

 

 



3.  🧩 **Instruction tuning**: Explore the art of optimizing your model's guidance for specific tasks, ensuring the most efficient and effective use of fine-tuned language models.



 

 



4. 📦 **Data Preparation**: Learn how to prepare your data effectively to get the most out of your finetuning process.



 

 



5. 🧠 **Training and Evaluation**: Discover how to train and evaluate an LLM on your data to achieve superior performance.



 

 



## Key Takeaways

- 🧭 Understand the strategic use of finetuning in Large Language Models.

- 📊 Master the art of data preparation for successful model adaptation.

- 🚀 Train and evaluate LLMs to achieve impressive results.