At the ChatBot Summit in Berlin I gave a talk ‘How to understand why Agents fail’. Below is a transcript and the slides. As you all know there is a lot of innovation and buzz around agents and age...

Fine-tuning of Large Language Models allows customizations of AI models for specific tasks and data. While Fine-tuning used to require a lot of compute, technologies like InstructLab, QLoRA and lam...

IBM watsonx Agent Connect is a new technology to connect AI agents from any framework to IBM watsonx Orchestrate. This post explains how to build external agents and how to access them from watsonx...

watsonx Orchestrate provides observability through a native integration with an open-source project known as Langfuse, an LLM engineering platform supporting traces and observations. This post show...

This week IBM Think 2025 took place in Boston. Below are some of my highlights related to AI. Note that not all capabilities below are already generally available. For some features there are publ...

The IBM watsonx Orchestrate Agent Development Kit is a set of tools designed to make it easy to build and deploy agents using IBM watsonx Orchestrate. It supports integrating agents and tools built...

In the latest version of watsonx Orchestrate IBM has added new functionality to build and run agentic applications. Orchestrator agents can leverage agents hosted on other platforms or on watsonx.a...

Docling is a popular open-source project contributed by IBM. It supports easy and fast parsing of PDFs and several other file types including images. Docling can be run via containers and deployed ...

Custom Python code for agentic applications can be deployed on watsonx.ai so that various agentic applications can be managed consistently and accessed securely. There are templates to help develop...

Agentic applications, model inference stacks and other Python based code can be deployed on watsonx.ai. For maximal flexibility custom images can be built and deployed to watsonx.ai which is based ...