Watsonx.ai is IBM’s AI platform built for business. It is provided as SaaS and as software which can be deployed on multiple clouds and on-premises. This post describes how to deploy custom models ...

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 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...