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jaideep kalsi

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Latest blogs by jaideep kalsi

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Active Learning Inside Insights Engine

Feb 04, 2022

Active learning is the name used for the process of prioritising the data, which needs to be labelled in order to have the highest impact on training a supervised model. Active learning can be used in situations where the amount of data is too large to be labelled and some priority needs to be made to label the data in a smart way. Insights Engine answers users’ queries by showing relevant responses from the documents. The responses are ordered in decreasing order of confidence match. But the biggest challenge is how do we train our model to learn from user feedback and improve search performance over time? How does “Active Learning” help? The active learning dashboard inside the Insights Engine section helps solve this problem. The user feedback for search results is collected and stored against each query. Similar queries are clustered under groups, making it easy for users to train the model and search results.

#FeatureFriday

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Now Automatically Add FAQs to Your Chatbots From Multiple Sources Within Seconds

Oct 08, 2021

Most companies have FAQs or Frequently Asked Questions page on their website. This page includes a series of questions that are commonly asked by customers and covers topics including product or service usage, business hours, prices, and more.

Conversational AI

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Train your bot on thousands of pages in minutes with yellow.ai's Insights Engine

Jul 30, 2021

Train your bot on thousands of pages in minutes with yellow.ai's Insights Engine

#FeatureFriday

Build your first NLP powered
intelligent chatbot in under 10 clicks

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