UBIAI Tool: Auto Text Labelling using GPT & Train Name Entity (NER) Model using AWS Comprehend

Опубликовано: 13 Октябрь 2024
на канале: Machine Learning Hub

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Hello, Guys, I am Spidy. I am back with another video.

In this video, we will delve into the capabilities of a Labelling tool called UBIAI ‪@ubiai6654‬ specifically designed for automated Text and image labelling through the utilization of GPT.

00:00 - Starting of video
00:13 - Introduction to UBIAI
00:53 - Explanation of the video flow
02:51 - Demonstrating the use case of datasets
03:41 - Highlighting the important features of UBIAI
04:38 - Creating a new project
08:11 - Performing manual data annotations
09:45 - Utilizing Few-Shot for automated data annotations
16:10 - Creating a NER model using UBIAI
20:47 - Testing the NER model within UBIAI
23:36 - Exporting annotations for use with Comprehend
25:03 - Training a NER model using Comprehend
28:16 - Evaluating the performance of the Comprehend model
28:50 - Setting up a model endpoint
29:23 - Testing the Comprehend model
30:37 - Conclusion of the video

Key Features of UBIAI:

AI-powered automatic labelling.
Compatibility with various data formats.
No requirement for model training through coding.
Facilitates team collaboration.
API support.
Automatic annotations.
Cost-effective, offering a 5x reduction in expenses.

Do explore UBIAI ► https://ubiai.tools/

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