Fine Tuning Small Models For Use Cases

I positioned Labellerr to collaborate on dataset curation for companies building or fine‑tuning models while NVIDIA supplies GPUs.

This outreach stresses small, use‑case‑specific language models to cut hype and drive real AI action.

Apple announced a 3‑billion‑parameter small language model (SLM) extended with adapters for tasks such as summarization, proofreading, tone adjustment, email replies, query handling, and urgency calculation.

Inference runs in Apple’s dedicated private cloud; the generated response is then merged with the user’s private on‑device data, preserving privacy by never sending user data to the cloud for training.