Discovering LangChain4J, the Generative AI orchestration library for Java developers

Generative AI exists because of the transformer

The technology has resulted in a host of cutting-edge AI applications — but its real power lies beyond text generation

Generative AI in practice: Concrete LLM use cases in Java, with the PaLM API

Large language models (LLMs) are a powerful new technology that can be used for a variety of tasks, including generating text, translating languages, and writing different kinds of creative content. However, LLMs can be difficult to use, especially for developers who are not proficient in Python, the lingua franca for AI. So what about us Java developers? How can we make use of Generative AI? This presentation will go through how to use LLMs in Java without the need for Python. We will use the PaLM API, provided by Google Cloud’s Vertex AI services, to perform a variety of tasks, such as searching through documentation, generating kids stories, summarizing content, extracting keywords or entities, and more.

Gradle Cheat Sheet

The Gradle Java plugin extends the Base plugin and provides the tasks needed to build a Java (or Kotlin) project. They resemble the Maven build phases for those familiar with Maven. See also Migratin

Hubert Klein Ikkink / Devoxx 2023 Coding Your Documentation · GitLab

GitLab.com

Voxxed Days CERN – The Voxxed Days CERN 2024 website

Awesome AssertJ: Using A Custom Representation For Objects

The assertion error messages from AssertJ will use the toString() method of an object to give more insight about why the assertion could have failed. If an object doesn’t override the toString() metho

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