Discover Project Loom: A game-changer in Java concurrency! Dive into lightweight threads, their benefits, and how to harness their power in your Java applications.
This post evaluates two different methods for identifying harmful content on the Internet: training supervised classifiers and using large language models.
In this blog series, we will cover the basics of cryptography, including encryption and decryption. We'll start by discussing the origins of cryptography.
Some advanced constructs may require a learning curve, but can significantly bolster your type safety. This article introduces you to some of these advanced features.
Explore digital natives born in the cloud, leverage Apache Kafka for innovation and new business models, and discover trends, architectures, and case studies.
Dive into the world of containerizing Helidon applications and seamlessly deploying them to Kubernetes using the Eclipse JKube's Kubernetes Maven Plugin.
The cost of large general purpose language models can be alleviated by training smaller task specific classification models which can be more efficient.
Learn about several approaches to monkey-patching in Java in this post: the Proxy class, instrumentation via a Java Agent, AOP via AspectJ, and javac compiler plugins.
The aim is to be able to formulate relevant predictions leading to automated decision-making, in other words, to convert new contextual information into action.