Large Language Models Chronicles: Navigating the NLP Frontier 🚀
Welcome to the GitHub repository of the Large Language Models Chronicles! This series on Medium is your guiding compass in the vast sea of Natural Language Processing, especially focusing on Large Language Models (LLMs). Here, you'll find code snippets, data, and resources supporting the articles published as part of the series.
If you find our content valuable, ⭐️ the repo to support us!
📜 Articles Published So Far:
- Summarizing the latest Spotify releases with ChatGPT
- Master Semantic Search at Scale: Index Millions of Documents with Lightning-Fast Inference Times using FAISS and Sentence Transformers
- Unlock the Power of Audio Data: Advanced Transcription and Diarization with Whisper, WhisperX, and PyAnnotate
- Whisper JAX vs PyTorch: Uncovering the Truth about ASR Performance on GPUs
- Vosk for Efficient Enterprise-Grade Speech Recognition: An Evaluation and Implementation Guide
- Testing the Massively Multilingual Speech (MMS) Model that Supports 1162 Languages
- Harnessing the Falcon 40B Model, the Most Powerful Open-Source LLM
- The Power of OpenAI’s Function Calling in Language Learning Models: A Comprehensive Guide
- Document-Oriented Agents: A Journey with Vector Databases, LLMs, Langchain, FastAPI, and Docker
- Leveraging Llama 2 Features in Real-world Applications: Building Scalable Chatbots with FastAPI, Celery, Redis, and Docker
- How to Fine-Tune Llama2 for Python Coding on Consumer Hardware
🛠 Getting Started
- Clone this repository:
git clone https://github.com/luisroque/large_laguage_models.git
Navigate to the specific directory related to an article to find the code, data, and additional resources.
⚖️ License
This project is licensed under the Creative Commons Attribution 4.0 International License. This means you can adapt and distribute the contents of this repository for any purpose, even commercially, as long as you provide proper attribution.
🤝 Contributing
Contributions, issues, and feature requests are welcome! Feel free to check issues page if you want to contribute.
1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request🙌 Thank you for your interest in our work. Let's navigate the NLP frontier together!
