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?

Scalable: Designed to integrate your app with scalable technologies (Docker, Kubernetes, etc). Powerful: Support for long-running agents, multiple programming languages, complex system dependencies, ...

If you haven’t already, set up your system to run Python and reticulate.; Import the ggplot2 PDF documentation file as a LangChain object with plain text.; Split the text into smaller pieces ...

The following Generative AI modules in the Vertex AI SDK are deprecated as of June 24, 2025 and will be removed on June 24, 2026: vertexai.generative_models, vertexai.language_models, ...

Google’s conversation AI tool Bard can now help software developers with programming, including generating code, debugging and code explanation — a new set of skills that were added in ...

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.

N AI is designed to accelerate the adoption of generative AI in the enterprise by simplifying how users build, run and secure managed models and inferencing services at the edge, in the datacenter ...