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...

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 ...

Custom Python code can be deployed on IBM watsonx.ai via Python Functions and AI Services. This post describes how resources like memory can be defined for custom execution environments. watsonx.a...

IBM has open-sourced another great tool for Generative AI engineers and developers. With the Data Prep Kit data can be prepared for Fine-tuning and Retrieval Augmented Generation. Data Prep Kit is...

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...

Agentic systems leverage multiple agents and multiple tools. These agents and tools can be developed and hosted by different providers. To allow inter-agent communication and to access different da...

SmolDocling is an ultra-compact, open-source Vision Language Model for document conversion including OCR. This post summarizes the key features and demonstrates how to get started. SmolDocling is ...