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Phi 3 Mini 4k Instruct Graph

Developed by EmergentMethods
Phi-3-mini-4k-instruct-graph is a fine-tuned version of Microsoft's Phi-3-mini-4k-instruct, specifically designed for entity relationship extraction from general text data, aiming to achieve comparable quality and accuracy to GPT-4 in generating entity relationship graphs.
Downloads 524
Release Time : 7/20/2024

Model Overview

This model is designed to generate structured JSON data representing entity relationships from general text data, which can be used to enhance information retrieval, explore temporal relationships, and conduct trend analysis.

Model Features

High-quality entity relationship extraction
Achieve comparable quality and accuracy to GPT-4 in generating entity relationship graphs.
Efficient processing
Improve efficiency when processing large-scale text data, suitable for high-throughput applications.
Structured output
Generate structured JSON data representing entity relationships for easy subsequent processing and analysis.

Model Capabilities

Entity recognition
Relationship extraction
Structured JSON generation

Use Cases

Information retrieval
Enhanced text database
Enhance information retrieval capabilities in various text databases by extracting entities and relationships.
Trend analysis
Advanced predictive modeling
Conduct trend analysis on various text sources to support advanced predictive modeling.
Content analysis
Content aggregation platform
Suitable for applications that require high-throughput processing of large amounts of text data, such as content aggregation platforms.
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