<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Guillaume Laforge on foojay.io - Friends of OpenJDK</title><link>https://foojayio.github.io/website/today/author/guillaume-laforge/</link><description>Articles written by Guillaume Laforge on foojay.io - Friends of OpenJDK</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 12 Apr 2024 13:55:38 +0000</lastBuildDate><atom:link href="https://foojayio.github.io/website/today/author/guillaume-laforge/index.xml" rel="self" type="application/rss+xml"/><item><title>Calling Gemma with Ollama, TestContainers, and LangChain4j</title><link>https://foojayio.github.io/website/today/calling-gemma-with-ollama-testcontainers-and-langchain4j/</link><pubDate>Fri, 12 Apr 2024 13:55:38 +0000</pubDate><guid>https://foojayio.github.io/website/today/calling-gemma-with-ollama-testcontainers-and-langchain4j/</guid><description>&lt;p&gt;&lt;strong&gt;Lately, for my Generative AI powered Java apps, I&amp;rsquo;ve used the &lt;a href="https://deepmind.google/technologies/gemini/#introduction" target="_blank" rel="noopener noreferrer"&gt;Gemini&lt;/a&gt;
 multimodal large language model from Google. But there&amp;rsquo;s also &lt;a href="https://blog.google/technology/developers/gemma-open-models/" target="_blank" rel="noopener noreferrer"&gt;Gemma&lt;/a&gt;
, its little sister model.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models.&lt;/p&gt;
&lt;p&gt;Gemma is available in two sizes: 2B and 7B. Its weights are freely available, and its small size means you can run it on your own, even on your laptop. So I was curious to give it a run with &lt;a href="https://docs.langchain4j.dev/" target="_blank" rel="noopener noreferrer"&gt;LangChain4j&lt;/a&gt;
.&lt;/p&gt;</description></item></channel></rss>