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Quarkus and AI Integrating Java and LLM to build intelligent applications by Alex Soto Bueno
Integrate Java and LLM to build intelligent applications with Quarkus and AI. Learn how to ingest movies, analyze sentiment, and use AI models like ResNet, ChatGPD, and MX to build powerful applications.
- Quarkus and AI: A new approach to integrate Java and LLM to build intelligent applications
- To ingest movies by default and analyze the sentiment of a sentence
- Use a library named DGL (Deep Java Library) to integrate with Java applications
- Load a model and execute it using Quarkus
- ResNet is a powerful deep learning model for image recognition
- ChatGPD is a popular AI model for text processing
- Inferencing the model using a REST API
- Setting up a Quarkus application to send emails
- Load an MX model and execute it using DGL
- Use Kubernetes to run a Java application
- Implementing a fraud detection model
- Training a model using a neural network
- Java is still a valid language for AI applications
- Using a quadratic formula to solve a math problem
- ChatGPD is a black box that uses a lot of data to make predictions
- RAC (Runtime Application Container) is used to load models and execute them using a REST API