AWS SageMaker Training Sessions: API-Driven Fine-Tuning
AWS SageMaker 'training sessions' give developers API control over model fine-tuning while abstracting away GPU infrastructure management.
AWS SageMaker 'training sessions' give developers API control over model fine-tuning while abstracting away GPU infrastructure management.
We had 8,000 labeled support intents. I ran the same task through GPT-4o prompting and a fine-tuned distilbert. The answer isn't what the blog posts say.
A Reddit user's LoRA fine-tune on a Qwen model shows how a targeted dataset can produce more 'humanlike' chat than a generic model.