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

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.

🔥 Don't forget to Subscribe

Playlist that you should check👇

"The video thumbnails were created using publicly available images from Google images and are used solely for thumbnail purposes. I do not claim ownership of these images. If you are the owner of any copyrighted content used in these thumbnails and want them removed or changed, please contact me and I will comply promptly. Thank you."

#ubiai
#aws
#awstutorial

[alanood]

I have a question about YAMNet TensorFlow lite model (Android app). I want to use it with an audio clip as input, Not a live recording. Can you help in that? Thank you