Trained my first small language model

A developer trained a small language model, approximately 50MB, to address a user experience issue with an internal application. This new model, which runs locally on an older Threadripper CPU, achieves a 97% accuracy rate and responds in 0.06 seconds. This significantly improves upon the previous Gemini Flash-based tool, which had a 0.9-1.2 second response time. The developer plans to deploy the model over the weekend, anticipating that its 0.1-0.2 second latency will be sufficient without requiring client-side inference.