Open GenAI for Java Devs

🚀 Production-Ready Generative AI for Java Teams Discover how Java developers can harness the power of Generative AI using open-source and open-weight models—without relying entirely on the cloud. In this session, we explore: 🔹 Why running models locally can reduce latency, cut costs, and protect intellectual property 🔹 Core techniques like quantization to shrink model size and improve efficiency 🔹 Smart orchestration strategies to route requests between local and cloud models 🔹 Hands-on demos with LangChain4j and Ollama for integrating models like Llama 3 and Mistral into Java apps 🔹 Building powerful Retrieval Augmented Generation (RAG) pipelines using your organization’s data 🔹 Deployment options including Azure AI Foundry and GitHub Models 💡 Whether you're just starting or scaling AI in production, learn how to begin with smaller models and grow as your needs evolve. 👉 Watch now to bring practical, scalable GenAI into your Java ecosystem!