Module
2
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Classification
This module offers a thorough introduction to classification systems and taxonomy design, crucial for efficient data management. It encompasses fundamental concepts, strategies, and iterative methods for optimising taxonomies, aiming to improve classification accuracy and usability.
6
mins2
.
1
Introduction to Classification
In this lesson you learn the concept, challenges and objectives of Classification when using the Cytora platform and its integration into insurance operations
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5
mins2
.
2
Automated LLM (Large Language Models) Driven Technology
This lesson provides an explanation of a key technology in auto-classification - Large Language Models
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5
mins2
.
3
Triage in Classification
This lesson explores the concept of triage and how it plays a crucial role in classification.
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5
mins2
.
4
Accuracy in Classification
This lesson will explore how to achieve accuracy of classification, how it’s calculated and used, and the concept of ground truth and its importance in evaluating model performance.
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5
mins2
.
5
Defining a Taxonomy
This lesson will explain how to define taxonomy and the three key levers that are used to achieve successful outcomes.
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5
mins2
.
6
Achieving an Optimal Taxonomy
This lesson dives into what makes an essential strategy for effective taxonomy optimisation.
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18
mins2
.
7
Cytora Configuration of Classification and Extraction
This lesson is a deep dive on how classification, taxonomy and extraction can be set up in the Cytora platform
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