distil labs – small model training, made simple

Create expert AI models without ML expertise. Turn 50 data points into a specialized model that's 100x smaller than a large one.

#1about 1 minute

The benefits and use cases for small models

Small models offer advantages in local deployment for privacy, on-device processing, and efficiency gains like lower cost and latency.

#2about 1 minute

Why specializing small models is difficult

Out-of-the-box small models underperform, and specializing them into expert models requires ML skills and thousands of labeled data points.

#3about 2 minutes

How Distill Labs automates expert model creation

The platform reduces data and skill requirements by using a prompt and 50 data points to generate synthetic data for automated fine-tuning.

#4about 1 minute

Using knowledge distillation to empower developers

The platform leverages a technique called knowledge distillation, enabling developers to build high-quality models without a dedicated machine learning team.

Selim Nowicki

distil labs – small model training, made simple

The benefits and use cases for small models

Why specializing small models is difficult

How Distill Labs automates expert model creation

Using knowledge distillation to empower developers

Matching moments

Featured Partners

Related Videos

Related Articles

From learning to earning