Breaking down Microsoft code and products and helping you make sense of it.
This post provides a comprehensive guide on getting started with OpenAI APIs, covering setting up an API key, installing OpenAI’s Python package, and using GPT-4o-mini for text generation. It also explores parameters tweaking, advanced uses like summarization and translation, and tips for fine-tuning models, handling rate limits, costs, bias, and caching responses.
This content discusses creating a Flask API using OpenAI’s Whisper model for transcribing audio files, along with containerizing the application using Docker for easy deployment and scalability. The process involves setting up the Flask API, running it locally, creating a Dockerfile, and testing the API with curl. By installing the model locally, there are no API costs involved.
Masters Development 