Learn how to build your own AI agent from scratch with Python. This step-by-step guide makes AI development accessible for everyone.

Here's how R users can get comfortable working with Python and LangChain, one of the hottest platforms for working with large language models.

AI Copilots Are Boosting Python’s Popularity Your email has been sent Generative AI can be a self-fulfilling prophecy: ...

Discover how LangChain Sandbox ensures safe Python code execution for AI developers, protecting systems from unverified code risks.

A function can be an LLM AI prompt, native code or a combination of both. For one example, a summarization skill could use LLM AI prompts to generate summaries of text or speech. The Semantic Kernel ...

Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.

The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Transparent AI Done Well When Adobe released its Firefly generative AI toolset, it reassured users that it is open and transparent about the data used to train its models. Unlike other generative ...

Research AI model unexpectedly attempts to modify its own code to extend runtime Facing time constraints, Sakana's "AI Scientist" attempted to change limits placed by researchers.