Ensuring Safe and Reliable AI Interactions with LLM Guardrails
We know that LLMs can and will make mistakes, and while enriching your prompts with the proper context can help align results with your …
18 articles in this category · 125,890 views.
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Brian Vermeer
3,669 viewsWe know that LLMs can and will make mistakes, and while enriching your prompts with the proper context can help align results with your …

Brian Vermeer
4,203 viewsThe implementation of RAG introduces security considerations. Risks such as prompt injection, data poisoning, access control gaps, and data …

Andrea Vacondio
8,691 viewsAutopo is a free and open source JavaFX application that automates .po file translation and validation with AI.

A N M Bazlur Rahman
3,412 viewsMy Journey Creating an AI-Powered Form Filler with RAG, LangChain4j, and Ollama

Nicolas Frankel
13 viewsLast year, I started to dig a bit around LangChain4J. It's a fast-growing project, and I wanted to get familiar with the updates. I also …

This first online Foojay Webinar highlights Java's place in the AI revolution, focusing on exploring AI/ML using pure Java tools.

A N M Bazlur Rahman
17,787 viewsLangChain4j already provides two types of memory eviction policies, lets adopt a third one: SummarizingTokenWindowChatMemory

Jonathan Vila
7,393 viewsExplore how to combine Quarkus with Ollama, a platform for running AI models locally. We’ll also demonstrate how tools like Testcontainers …