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 ...
Evaluating Question Answering Scenarios with watsonx.governance
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...
Developing custom Tools with the Bee Agent Framework
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 ...
Generative AI Quality Metrics in watsonx.governance
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...
Code Execution with the Bee Agent Framework
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...
Simple Bee Agent Framework Example
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...
Multi Agents and Function Calling with watsonx.ai
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...
Agents and Function Calling with watsonx.ai
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....
Custom LLM Metrics in watsonx.governance
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...
Introduction to watsonx.governance
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...