In this section, you will find a collection of Google Colab notebooks that provide hands-on learning experiences with GPT. These notebooks are designed to help you understand how to apply GPT in various applications. Whether you are a beginner or an experienced practitioner, these resources can be valuable for your learning journey.
- How to Make ChatopenAI with you dataset
- ลองเขียน Python ทำ ChatGPT พูดได้ง่ายๆ ด้วย Azure OpenAI และ Speech service
- Example Colab Notebook 3
This section contains links to code repositories that demonstrate the implementation of GPT in real-world applications. You can explore these repositories to gain insights into how GPT can be integrated into different projects and use cases.
Here, you will find a curated list of research papers, articles, and blog posts related to GPT and its applications. These resources provide in-depth knowledge and insights into the latest advancements in GPT technology and its impact on various domains.
- GPT-4 Technical Report
- Language Models are Few-Shot Learners
- A step-by-step guide to building a chatbot based on your own documents with GPT
- Retrieval Augmented Generation (RAG): Reducing Hallucinations in GenAI Applications
- Knowledge Graphs & LLMs: Fine-Tuning vs. Retrieval-Augmented Generation
We encourage you to contribute to GPTForAnything by adding new resources, including Google Colab notebooks, code repositories, and research papers. To contribute, please follow these steps:
- Fork this repository.
- Create a new branch for your contribution.
- Add your resource(s) to the appropriate category.
- Create a pull request.
Thank you for your contributions, and let's build a comprehensive knowledge source for GPT applications together!
Thank you for your contributions, and let's build a comprehensive knowledge source for GPT applications together during Hacktoberfest!