Blogs

Today, we’re launching a private preview of model alignment with InstructLab in watsonx.ai. With this feature, customers can add their enterprise data, amplify that with synthetic data and alignment tune ...

Introduction to Milvus: The Foundation of GenAI From creating realistic virtual assistants to automating complex content generation tasks, GenAI adoption is accelerating across industries. Crafting ...

The buzz today is DeepSeek AI, a very good new Chinese model that discloses reasoning steps. Although I advise against chasing after the latest models, I strongly advocate for understanding your ...

Deploy and Inference DeepSeek-R1 Distilled Models with IBM Watsonx.ai Introduction IBM watsonx.ai is an enterprise-grade studio for developing generative AI applications and ...

An effective way to harness the power of generative AI to produce relevant content is to ground it with specific, curated content. Retrieval-augmented generation (RAG) turns an LLM from a creative text ...

Data Strategy for AI Many organizations set out with the best intentions when embarking on AI and analytics projects but often encounter significant hurdles due to a crucial shortcoming: an insufficiently ...

Martin Keen discusses the importance of selecting the right large language model (LLM) for enterprise use, highlighting three key metrics: performance, cost-effectiveness, and trustworthiness. He explores ...

IBM watsonx as a Service is a secure and collaborative environment where you can access your organization's trusted data, automate AI processes, and deliver AI in your applications. The IBM watsonx.ai ...

At IBM, we're committed to empowering developers and making AI more accessible and productive for enterprises. Our new watsonx Developer Hub offers the latest quick starts and comprehensive guides to train, ...

Purpose In this article, we’ll see how to add remote data sources to IBM watsonx.data, and how to add tables from these remote sources to an IBM Cloud Pak for Data governed catalog. We’ll additionally ...

𝗡𝗮𝘁𝗶𝘃𝗲 𝗥𝗔𝗚 In Native RAG, the most common implementation nowadays, the user query is processed through a pipeline that includes retrieval, reranking, synthesis, and generation of a response. This ...

In 2025, everyone will be talking about & shipping AI Agentic features & solutions. Let's learn the basics: 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 An AI agent is a system designed to reason through complex problems, create ...

Want to learn more the importance of AI agents and assistants in 2025? Register for Virtual Agents Day here → https://ibm.biz/BdaAVa Download the AI model guide to learn more → https://ibm.biz/BdGE4R ...

The Granite Guardian model collection is designed to detect risks in user prompts and LLM The Granite Guardian models are a collection of models designed to detect risks in prompts and responses. Trained ...

IBM Granite 3.1 is the latest update to our Granite series of open, performant, enterprise-optimized language models. This suite of improvements, additions and new capabilities focuses primarily ...

AI isn’t something from the future anymore, it’s already here and helping businesses improve every day. You’ve probably seen how AI can make big changes in areas like helping customers or managing supply ...

This document is designed to guide developers in selecting similarity metrics and In-Memory indexes when using the Milvus vector database. It provides a concise overview of key concepts and parameters, ...

This document is designed to guide developers in selecting similarity metrics and in-memory indexes when using the Milvus vector database. It provides a concise overview of key concepts and parameters, ...

Introduction In today's rapidly evolving AI landscape, Large Language Models (LLMs) have become integral to many business applications. However, with this adoption comes significant security, ...

Introduction In today’s fast-paced world, automation and AI are transforming how we approach problem-solving across various domains. One area where AI is making a significant impact is in education ...