Get a hands-on introduction to generative AI with these Python-based coding projects using OpenAI, LangChain, Matplotlib, SQLAlchemy, Gradio, Streamlit, and more.

IT leaders are grappling with a critical question as they seek to deploy generative AI workloads today: Is it better for my business to run GenAI applications in the public cloud or on-premises?

Carolina Parada, head of robotics at Google DeepMind, says this approach to AI robotics could make robots more reliable in ...

With Streamlit in Snowflake, builders can use familiar Python code to develop their apps, transforming an idea into an enterprise-ready app with just a few lines of code, and then quickly deploy ...

Then there’s Cloud Pak for Data, which has been IBM’s primary data, analytics and AI environment for hybrid cloud and watsonx.data about the lakehouse. Let’s zero in on governance.

To keep it simple, generative AI is where computer algorithms are used to generate responses that resemble human-created content, in the form of text, images, graphics, music, computer code or more.

Combining generative AI with no-code tools is like giving everyone a chance to be a tech innovator. Just like how the internet and mobile apps changed how we use technology, mixing generative AI ...