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Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
Build and deploy AI-driven assistants with our OpenAI Assistants Template. This tutorial provides a hands-on approach to using OpenAI's Assistant API, complete with code modules, interactive Jupyter Notebook examples, and best practices to get you started on creating intelligent conversational agents.
Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.
Whisper2Summarize is an application that uses Whisper for audio processing and GPT for summarization. It generates summaries of audio transcripts quickly and accurately, making it ideal for a variety of use cases such as note-taking, research, and content creation.
Translate Markdown files from one language to another using OpenAI's API while retaining original formatting. This Jupyter notebook tokenizes input text, splits into chunks, translates with OpenAI, and reconstructs output to preserve Markdown structure. Useful for localizing documentation, articles, books, and other long-form Markdown content.
This Git repository contains the source code and related files for a project focused on leveraging generative AI techniques for interactive data visualization. The repository includes the notebook, example dataset, and the configuration file necessary to implement a simple interactive data visualization tool using OpenAI API.