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.
Adopting Ethical AI: Integrating Microsoft, NIST, and ISO 42001 Frameworks
Artificial intelligence (AI) has the potential to change every industry, but it brings with it important ethical considerations. Ensuring AI…
How to Build and Run a Flask API with OpenAI’s Whisper Local Model Using Docker
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.
What the heck is AI? Here’s what it really is.
In the tech industry, buzzwords come and go like fashion trends. But few terms have been as pervasive—and as misused—as…
UK AI Regulatory Principles: A Comprehensive Guide for Enterprises
Artificial Intelligence (AI) is reshaping global industries, including the UK. The government has established a flexible regulatory framework based on five core principles: safety, transparency, fairness, accountability, and contestability. Adhering to these principles helps enterprises navigate AI regulation, build trust, drive innovation, and gain competitive advantages in the evolving AI landscape.