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

Aspiring data-science and machine-learning developers now have more Microsoft-made free video tutorials to learn how to build software in Python, one of today's most popular and versatile ...

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 ...

This book is edited by Li Hui and Chen Yanyan, with associate editors Yang Yu, Gao Yong, Zhang Qiaosheng, Bi Ye, and Liu Dengzhi. It is rich in content, covering 32 theories and 32 practical cases, ...

Whether starting from scratch to learn AI coding or refining an understanding of artificial intelligence and Python, the tool ensures a seamless, step-by-step learning journey.

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

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

Conclusion In conclusion, Python provides a vast array of libraries for machine learning and AI, making it a popular choice for developers and data scientists.

However, as the AI field evolves, many Python developers find themselves struggling to keep up with the demands of building, deploying, and optimizing AI models.