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...

watsonx is IBM’s AI & data platform that’s built for business. It supports the complete AI lifecycle including Large Language Models, developer tools, governance and more. This post describes a...

Recently watsonx Orchestrate has added support for agentic capabilities. Orchestration agents can route to assistants, skills and agents. This post focusses on the routing to agents and their tools...

Recently watsonx Orchestrate has added support for agentic capabilities. Orchestration agents can route to assistants, skills and agents. This post focusses on the routing to skills, skill flows an...

Recently watsonx Orchestrate has added support for agentic capabilities. Orchestration agents can route to assistants, skills and agents. This post focusses on the routing between assistants and ac...

Watsonx.ai Agent Lab is a low-code tool for building and deploying agents. It can also be used by pro-code developers to generate code for agentic applications which can be extended and optimized. ...

IBM launched the beta release of Agent Lab, a low-code tool for building and deploying agents on watsonx.ai. This post describes a simple example. Here are the official resources: Documentatio...

In watsonx.ai custom Python code can be deployed and accessed via REST APIs. This allows deploying agentic applications, models and more. This post describes the new feature “AI Service” in watsonx...

The first Large Language Models only returned plain text. Later models learned how to return JSON which is important for agents and Function Calling. This post summarizes how modern models can even...

The Bee Agent Framework is an open-source project for building, deploying, and serving powerful multi-agent workflows at scale. One of its strengths is observability. While other frameworks require...