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16 articles
Learn how to set up and use Claude AI models through the Anthropic API, with a focus on cost optimization for agentic work. This beginner-friendly tutorial teaches you to make API calls, choose models, and understand pricing differences.
Learn to create a simple AI chatbot using OpenAI's API - the technology powering demonstrations at TechCrunch Disrupt 2026. This beginner-friendly tutorial teaches you how to set up authentication, make API requests, and build an interactive chat interface.
Learn how to create your own AI chatbot using the OpenAI API - the same technology behind ChatGPT and Gemini that recently hit 1 billion users.
Learn how to work with Anthropic's Claude API by building a chatbot application that demonstrates inference requests, conversation history, and error handling.
Learn how to create a simple AI chatbot using Python and OpenAI's API. This beginner-friendly tutorial walks you through setting up your development environment, making API calls, and building a functional chatbot interface.
Learn how to build a simple AI document analysis tool using Python and OpenAI's API, demonstrating fundamental concepts of AI application development.
Learn how to interact with Anthropic's Claude AI API using Python, set up secure API access, and understand the basics of usage-based pricing that's becoming standard in the AI industry.
Learn how to create your own AI-powered productivity applications using OpenAI's language models, similar to Microsoft's Copilot 365.
Learn how to work with Google's Gemini API to build AI-powered text analysis applications while understanding the compute limitations that affect companies like Meta.
Learn how to set up and use Claude, Anthropic's AI assistant, through a practical Python tutorial that covers API integration and basic text generation.
Learn how to access and interact with Anthropic's Claude Fable 5 AI model through the API, including understanding its safety features and experimenting with different prompts.
Learn to work with Anthropic's Claude AI API by setting up your development environment, making API calls, and handling responses in practical Python examples.