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Training Corpus

A training corpus is a collection of digital assets and associated metadata that is used to train a machine learning model. This is an essential part of AI automation.
Enables the following Capabilities
AI automated tagging in Production
Feedback loop for AI training corpus
Auto-tagging AI that learns on-the-fly
Metadata is part of a feedback loop to optimize AI RPA training
Used in the following Interventions
Generate a "Silver Corpus" for AI training
A "Silver Corpus" is an efficient bootstrapping approach to creating a precursor to a "golden corpus" in order to train an AI process efficiently.
Other technologies used
Machine Learning (ML)
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Good training corpora are essential for ensuring AI automation services perform to their full potential. Here's how to prepare your 'Golden Corpus'.
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FAQs
What is a training corpus?

A training corpus is a collection of digital assets and associated metadata that is used to train a machine learning model for automation and prediction capabilities required in a particular business domain.

Why do I need a training corpus?

In order to train AI automation services to work optimally for your own specialized business domain, a training corpus is required.
While you can get some way with generic solutions trained on generic datasets, each business has its own specializations and structures, and if an AI service is to be aware of this and operate within this context, a training corpus is required to provide a relevant structured training set.