SetFit Few-Shot Skill

SkillDev tools

SetFit few-shot learning for efficient intent classification with minimal data

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the SetFit Few-Shot Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/setfit-few-shot/SKILL.md and read by ahel’s review.

Capabilities

Train SetFit models with few examples per class
Configure contrastive learning settings
Implement efficient classification pipelines
Design few-shot training strategies
Set up model evaluation
Deploy lightweight classifiers

Target Processes

intent-classification-system

Implementation Details

SetFit Advantages

Few Examples: 8-16 examples per class
No Prompts: No prompt engineering needed
Fast Training: Minutes vs hours
Small Models: Sentence transformer base

Training Process

Contrastive fine-tuning of embeddings
Classification head training
Iterative sampling strategies

Configuration Options

Base sentence transformer model
Number of training examples
Contrastive learning epochs
Classification head architecture
Evaluation metrics

Best Practices

Diverse few-shot examples
Balance class examples
Use appropriate base model
Validate on held-out data

Dependencies

setfit
sentence-transformers

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: setfit-few-shot
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter