The Great Data Reimagination: From Static to Agile in the AI Era
We’re in the middle of a fundamental change in how enterprise software works. In the next decade, your database will become your AI.
Category
Machine Learning
How I Improved Zero-Shot Classification in Deep Java Library (DJL) OSS: Enhancing Machine Learning Model Translators
Learn how I improved zero-shot classification in Deep Java Library (DJL) by fixing token_type_ids support, optimizing logit handling, and …
Intro to RAG: Foundations of Retrieval Augmented Generation, part 2
In this blog post, we'll explore the different layers of RAG, including vector RAG, graph RAG, and agents.
Intro to RAG: Foundations of Retrieval Augmented Generation, part 1
Explore a few introductory concepts around Retrieval Augmented Generation (RAG), why it exists and the problems it solves.
How Deep Netts and Java AI Transformed Particle Physics
Jefferson Lab is leveraging Java-based AI to overcome one of the most computationally intense challenges in modern science.
Building FormPilot
My Journey Creating an AI-Powered Form Filler with RAG, LangChain4j, and Ollama
Foojay Webinar: Java's Place in the AI Revolution
This first online Foojay Webinar highlights Java's place in the AI revolution, focusing on exploring AI/ML using pure Java tools. - by Frank …
Register for Foojay Webinar: "Java's Place in the AI Revolution"
This first online Foojay Webinar will highlight Java's place in the AI Revolution, focusing on Exploring AI/ML Using Pure Java Tools.
Run AI-enabled JakartaEE/MicroProfile apps with LangChain4j
Experience AI technology in Jakarta EE and MicroProfile applications that run on Open Liberty by using LangChain4j APIs.
Foojay Podcast #56: Vectors in Java Code, Databases, and LLMs
In this Foojay podcast, we enter the world of mathematics by discussing Vectors and how they are crucial for AI and machine learning.