The LLM training involved developing a feeder system for text files used by the learning model, which interacts with five different running apps. The design adheres to the DDD motto, using one Database per microservice. Dockerized code underwent thorough unit and IT testing for all databases, with Test Containers proving invaluable. The complete code base is available on GitHub.
Author: Sathish Jayapal
Indie software engineer.
Three things with Spring AI along with Github co-pilot
Since Spring AI's release, many advocates have been talking about Spring AI and its benefits. This post is about three things that I was playing with Portable chat completion (Sync (non-reactive)/Async (reactive)) Vector support Multi Modality support Let's discuss Spring AI and its portable chat completion feature. In this post, we will discuss using Ollama … Continue reading Three things with Spring AI along with Github co-pilot



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