The first open-source Reasoning Large Language Model is now available. This post describes briefly what reasoning models are and how to run them locally. Model-based Reasoning has been used for qu...

Red Hat Enterprise Linux AI (RHEL AI) comes with InstructLab to fine tune Large Language Models. This post describes how to set it up on IBM Cloud. Red Hat Enterprise Linux AI is a foundation m...

A public preview of watsonx.ai Flows Engine is now available. This post shows an example how to build a simple agent which accesses LLMs from watsonx.ai and pre-built tools. Build performant ge...

At TechXchange 2024 IBM gave an amazing demo how to increase developer productivity via agents. Below are some screenshots from the keynote. Check out the demo of the keynote ‘Track Spotlight for ...

At TechXchange 2024 IBM gave a nice preview how to run InstructLab in watsonx.ai. Below are some screenshots of a demo from the keynote. InstructLab is an innovative methodology to customize small...

watsonx Assistant and watsonx Orchestrate can access Large Language Models from watsonx.ai to build conversational experiences utilizing Generative AI capabilities via state-of-the-art models from ...

Agents are the next step in the evolution of AI. Via tools AI agents can not only generate text, but invoke business logic and access real time data. Sophisticated tasks can be solved by multiple a...

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...

watsonx Orchestrate supports multi-turn conversations as beta. This post shows an example how this new functionality works. Multi-turn conversations are useful in RAG scenarios (Retrieval Augmente...