In this tutorial, we build an advanced agentic AI system using the OpenAI API and a hidden terminal prompt for the API key. We design the agent as a small pipeline of specialized roles: planner, ...
Ollama has become the standard for running Large Language Models (LLMs) locally. In this tutorial, I want to show you the most important things you should know about Ollama. Ollama is an open-source ...
Developers spend a huge chunk of their time in the terminal like running commands, reading logs, debugging scripts, working with git, managing servers, and automating tasks. But the terminal is also ...
Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...
In just a few simple steps, a systems administrator can quickly spin up the required SNS-backed text messaging infrastructure. And with only a few lines of code a developer can quickly create a ...
In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential asynchronous HTTP libraries (aiohttp, nest-asyncio) ...
HANDS ON Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.
The OpenAPI specification, and the Swagger suite of tools built around it, make it incredibly easy for Python developers to create, document and manually test the RESTful APIs they create. Regardless ...
For comprehensive guides, tutorials, and API reference, please visit our official documentation site. Note that package installation dependencies are defined in ...
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