II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--synthetic-conversation-data
synthetic-conversation-data overview
Synthetic Conversation Data Generation - Process for generating high-quality synthetic conversation data for training and testing conversational AI systems using LLM-based generation.
Attributes
displayName
synthetic-conversation-data
description
Synthetic Conversation Data Generation - Process for generating high-quality synthetic
conversation data for training and testing conversational AI systems using LLM-based generation.
libraryPath
library/specializations/ai-agents-conversational/synthetic-conversation-data.js
specialization
ai-agents-conversational
references
- - Self-Instruct: https://arxiv.org/abs/2212.10560 - Evol-Instruct: https://arxiv.org/abs/2304.12244 - Genstruct: https://huggingface.co/NousResearch/Genstruct-7B
example
const result = await orchestrate('specializations/ai-agents-conversational/synthetic-conversation-data', {
datasetName: 'customer-support-synthetic',
scenarios: ['order-tracking', 'refund-request', 'product-inquiry'],
targetSize: 10000
});
usesAgents
- synthetic-data-generator
- seed-generator
- evolution-generator
- quality-filter
- diversity-analyzer
- data-exporter
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow1
- workflow:data-pipeline-deployment·WorkflowData Pipeline Deployment
uses_agent1
- lib-agent:ai-agents-conversational--synthetic-data-generator·LibraryAgentsynthetic-data-generator
Incoming edges
None.