II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--setfit-few-shot
setfit-few-shot overview
SetFit few-shot learning for efficient intent classification with minimal data
Attributes
displayName
setfit-few-shot
description
SetFit few-shot learning for efficient intent classification with minimal data
libraryPath
library/specializations/ai-agents-conversational/skills/setfit-few-shot/SKILL.md
specialization
ai-agents-conversational
contentSummary
# SetFit Few-Shot Skill
## 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
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow2
- workflow:ml-model-lifecycle·WorkflowML Model Lifecycle
- workflow:feature-development·Workflow
lib_involves_role2
- role:ml-engineer·RoleMachine Learning Engineer
- role:backend-engineer·RoleBackend Engineer
lib_requires_skill_area2
- skill-area:ml-fine-tuning·SkillAreaML Fine-Tuning
- skill-area:natural-language-processing·SkillAreaNatural Language Processing
Incoming edges
None.