Breaking down Microsoft code and products and helping you make sense of it.
The AI community has grown tremendously, providing vast learning opportunities. Microsoft’s Semantic Kernel offers Plugins, Planners, and Personas, enabling autonomous AI agents to perform complex tasks. These components work in unison to revolutionize automation and decision-making, tailored for various enterprise uses. __JETPACK_AI_ERROR__
GPT models are powerful for text generation, but prompt engineering is key. Clear, precise instructions enhance model responses, while defining output format and using separators improve clarity. Understanding system, user, and assistant messages is crucial. Advanced techniques like chain of thought prompts and few-shot learning can boost results. Tips include experimentation and using the right tools for successful prompt engineering.
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.
Artificial intelligence (AI) has the potential to change every industry, but it brings with it important ethical considerations. Ensuring AI … More
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 