Developing Cloud-Native Java AI Applications with DJL and LangChain4J

Explore the integration of Java with AI and large language models in this comprehensive conference talk. Learn how to consume, train/retrain, and infer various AI models, including LLMs like OpenAI, Llama, Gemma, and Mistral. Discover practical applications beyond chatbots, such as fraud detection, image classification, and sentiment analysis. Gain hands-on experience in deploying AI models to Kubernetes, configuring deployment parameters, and using tools like KNative for sustainable model deployment. Suitable for Java developers interested in practical AI applications, this session requires no prior AI knowledge and covers topics ranging from enhancing customer experience to improving on-site documentation searches.

Developing Cloud-Native Java AI applications with DJL and LangChain4J by Sébastien Blanc, Alex Soto