The guide provides a tutorial on building an advanced artificial intelligence (AI) agent using Python and Retrieval Augmented Generation (RAG). The AI agent is capable of utilizing various tools and ...

The widespread adoption of AI is creating a paradigm shift in the software engineering world. Python has quickly become the programming language of choice for AI development due to its usability, ...

Google Colab is useful for anyone exploring Python, data science, or machine learning without a powerful computer. Students and beginners can use Colab to explore Python and data science directly in ...

Shiny for Python 1.0 launched this week with built-in chatbot functionality. The Chat() component is aimed at making it “easy to implement generative AI chatbots, powered by any large language model ...

A tool called ` `Tutorial-Codebase-Knowledge '' has been released that reads code written by others and creates tutorials that visualize complex code in an easy-to-understand way. When you come across ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Would you trust an AI agent to run unverified code on your system? For developers and AI practitioners, this question isn’t just hypothetical—it’s a critical challenge. The risks of executing ...

Learn how to implement the AdaMax optimization algorithm from scratch in Python. A great tutorial for understanding one of the most effective optimizers in deep learning.