Training data
A Guide to Fine-Tuning Models with LLM APIs
Large language models have fundamentally changed what’s possible in software development, customer service, content generation, and countless other domains. Yet there’s a persistent gap between what a general-purpose model delivers out of the box and what a specific business actually needs. A customer support chatbot trained on generic internet text won’t understand your product terminology....
Why Data Labeling Quality Is the Hidden Bottleneck in Machine Learning
Every machine learning model is only as good as the data it learned from — and most of that data had to be labeled by a human or an automated system before the model ever saw it. Labeling sounds like a mechanical, almost clerical step. In practice, it’s one of the most consequential decisions in...