Mastering Vision Models in Ollama: Java Records and Sealed Interfaces

This video tutorial showcases how to automate image descriptions using Ollama and Java. It walks viewers through downloading and installing Ollama, adding models, and leveraging Java features such as records, sealed interfaces, and JUnit 5 for testing. The tutorial demonstrates the use of the command line to manage models, accessing the Ollama API, and structuring requests for text and image descriptions. Additionally, it explains creating records and sealed interfaces in Java for handling responses and requests, along with implementing a compact constructor for data transformation. The video also covers automating tests in IntelliJ for image description using parameterized tests and interpreting varied model responses to an image of cats playing cards.

0:00 Ollama Vision Models
00:26 Introduction to Ollama: Download and Installation
00:51 Exploring Ollama Models and Installation
01:38 Interacting with Ollama's API and Endpoints
02:25 Diving into Code: Implementing Ollama with Java
06:22 Running Parameterized Tests with Ollama Models
07:34 Analyzing Vision Model Responses: A Comparative Overview
09:45 Conclusion: Wrapping Up with Ollama

[bruno.ferreiraIFMG]

Great Video!! Would it be possible for you to share the code?