Is Java ready for real #AI? With #Llama & #Ollama4J, you can build chatbots, assistants, or content filters—all running on your machine, not in the cloud. Lutske de Leeuw walks you through the architecture.

Try it yourself: https://javapro.io/2025/10/15/tame-your-llama-run-ai-in-java/

@ollama #LLM #JAVAPRO #Java

Running #LLMs locally in #Java used to mean pain: Python wrappers, cloud hacks, or workarounds. With @ollama & #Ollama4J, it’s now native, clean, and offline.
Lutske de Leeuw explains the setup, tuning, & use cases.

See what’s possible: https://javapro.io/2025/10/15/tame-your-llama-run-ai-in-java/

@ollama #JAVAPRO

Exploring AI with Groovy™ using Ollama4j, LangChain4J, Spring AI, Embabel, Micronaut, & Quarkus (Spring AI updated to 1.1.0, added Micronaut, Quarkus, and AI tools examples):
https://groovy.apache.org/blog/groovy-ai
@ApacheGroovy #TheASF #embabel #groovylang #ollama4j #langchain4j #springai #Micronaut #Quarkus #holidaytips

Thanks to Lutske de Leeuw’s walkthrough, you can now run #Llama 2-7B locally in #Java—with no APIs, no latency, and no surprises. Ideal for chatbots, summaries, or code generation.

Build your own local #AI stack: https://javapro.io/2025/10/15/tame-your-llama-run-ai-in-java/

@ollama #Ollama4J #LLM #JAVAPRO

Want to use #LLMs in #Java without sending your data to the cloud? With Lutske de Leeuw’s guide to running #Llama locally via #Ollama4J, #AI becomes private, predictable and fully under your control.

Learn how to set it up: https://javapro.io/2025/10/15/tame-your-llama-run-ai-in-java/

@ollama #JAVAPRO