LLM Agents and Function Calling are powerful techniques to build modern AI applications. IBM Research open sourced the Bee Agent Framework. This post describes how custom tools can be developed in ...

watsonx.governance is IBM’s AI governance offering to manage and monitor (Generative) AI solutions. It is available as SaaS or as software to be run everywhere. This post demonstrates how to do thi...

LLM Agents and Function Calling are powerful techniques to build modern AI applications. IBM Research open sourced the Bee Agent Framework. This post describes how with this framework agents can ge...

LLM Agents and Function Calling are powerful techniques to build modern AI applications. This post describes a simple example how to use agents and tools with LLM models on watsonx.ai via the new B...

LLM Agents and Function Calling are powerful techniques to build modern AI applications. This post describes a sample how to use multiple crewAI agents, custom Python functions and LLM models on wa...

LLM Agents and Function Calling are powerful techniques to build modern AI applications. This post describes a sample how to use Langchain agents, custom Python functions and LLM models on watsonx....

watsonx.governance is IBM’s AI platform to govern generative AI models built on any platform and deployed in the cloud or on-premises. This post describes how to collect metrics from LLMs running o...

When building Generative AI pilots, MVPs, PoCs, etc. the focus is often to figure out if AI works and adds value in general. Running AI applications in production requires additional capabilities l...

AI is evolving fast and lots of new frameworks come up frequently. The open-source project Open Data Hub (ODH) brings several of these modern frameworks together. Red Hat uses ODH as upstream proje...

Podman Desktop is a great open source alternative to commercial offerings in order to run containers locally. With the new Podman AI Lab extension Large Language Models can be tested locally via te...