GenAI Vlog - New Package: Huggify-Data - Part III - Allow user to fine tune Llama2
🚀 Exciting News! The package "huggify-data" now allows user to #FINETUNE #LargeLanguageModels within its API functions. *huggify-data* 📦 - the ultimate Python library 🐍 for scraping `.pdf` documents, generating question-answer pairs with `openai`, and uploading datasets 📊 to the HuggingFace Hub 🤗. And now our latest feature lets you fine-tune the Llama2 model on your proprietary data #CUSTOMDATA #PROPRIETARYDATA #FEDERATEDLEARNING, unlocking even more powerful AI capabilities for #everyone! 🦙✨ Ready to elevate your data game? Check out the tutorial notebooks, try out the examples, and start making your data work for you! 💡📈 #Python #AI #DataScience #MachineLearning #OpenAI #HuggingFace #Llama2 #huggifydata
Notebook tutorials:
1. Scrape and Generate Q&A: https://github.com/yiqiao-yin/WYNAsso...
2. Fine-tune Llama2: https://github.com/yiqiao-yin/WYNAsso...
3. Inference Llama2: https://github.com/yiqiao-yin/WYNAsso...
-----------More Details on the Original Package--------------
👋 I'm thrilled to present the new user-friendly interface for my Python package, huggify-data. This powerful tool simplifies the process of scraping data from PDFs and generating question and answer pairs using OpenAI, making it perfect for building conversational chatbots. 🤖✨
🚀 Key Features:
1. Easy PDF Data Extraction: Quickly scrape text content from PDFs and convert it into a structured data frame.
2. Automated Question-Answer Pair Generation: Extract meaningful question-answer pairs from your PDF content, ideal for training chatbots.
3. Seamless Integration with Hugging Face Hub: Effortlessly upload your data frames to the Hugging Face Hub using an API key, making your data accessible to others in the community.
4. User-Friendly Interface: Interact with the package without any programming experience, making information accessibility easier and more efficient.
5. Fine-tuning: API update to allow user to fine-tune Llama2 model by grabbing data scraped and pushed to HuggingFace Cloud
🔧 How It Works:
Install the Library: Simple installation process to get you started quickly.
Load Your PDF: Easily load any PDF file into the library.
Extract and Upload: Use the library's functionality to extract question-answer pairs and upload them to the Hugging Face cloud.
Finetune; Use the train methods to fine tune Llama2 model on customized dataset
P.S. This library assumes users have an API KEY from #OpenAI and a Token from #HuggingFace.
📈 Why Huggify-Data?
Whether you're a data scientist, developer, or AI enthusiast, Huggify-Data streamlines the process of preparing your PDF data for AI applications. It's never been easier to transform your PDFs into valuable datasets for building conversational AI models.
📚 Demo Video: Watch me demonstrate how to use Huggify-Data to convert a PDF into a data frame, save it as a CSV file, and push it to the Hugging Face Hub. See the magic in action and learn how you can leverage this tool for your projects!
🔗 Links:
GitHub Repository: https://lnkd.in/eJEJebcw
Documentation: https://lnkd.in/eF9JFXAP
Notebook: https://lnkd.in/eaA2qaPt
App: https://huggingface.co/spaces/eagle05...
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#HuggifyData #PythonLibrary #AI #DataScience #HuggingFace #PDFScraping #Chatbot #OpenSource #Yiqiao
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