Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Hierarchical topic modeling using LLM
By:
Latest Version:
2.3
Solution extracts topics from text data using hierarchy-based clustering, LLMs and unsupervised approaches.
Product Overview
Solution utilizes LLMs and clustering algorithms to enhance the quality of topics exracted and relevance of document topics. This solution applies BERTopic under the hood along with HDBSCAN and Phi3.5 to generate topics and assign the topics to the data. This solution helps improve performance of various down-stream activities performed on documents like assignment of tickets into teams based on the topics discovered. This solution takes a csv file of text chunk as input and returns the CSV with the topics assigned. This solution supports real time inferencing as well which can be used to get topics on the fly.
Key Data
Version
By
Categories
Type
Algorithm
Highlights
An easy to use solution for generating high quality topics for your data. This solution will aid in improving generation and assignment of tickets by using advance machine learning techniques
This soltuion uses unsupervised techiniques for topic generation and therefore, does not require tagged data.
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Algorithm Training$2/hr
running on ml.g5.xlarge
Model Realtime Inference$2.00/inference
running on any instance
Model Batch Transform$2.00/hr
running on ml.m5.large
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Algorithm Training$1.408/host/hr
running on ml.g5.xlarge
SageMaker Batch Transform$0.115/host/hr
running on ml.m5.large
Algorithm Training
For algorithm training in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Algorithm/hr | |
|---|---|---|
ml.g5.xlarge Vendor Recommended | $2.00 | |
ml.g5.8xlarge | $2.00 | |
ml.g5.12xlarge | $2.00 | |
ml.g5.2xlarge | $2.00 | |
ml.g5.4xlarge | $2.00 | |
ml.g5.48xlarge | $2.00 | |
ml.g5.16xlarge | $2.00 | |
ml.g5.24xlarge | $2.00 |
Usage Information
Training
Training data must be a csv. It must contain the column name "DESCRIPTION"
Channel specification
Fields marked with * are required
train
*Input modes: File
Content types: application/csv
Compression types: None
Model input and output details
Input
Summary
Must be a csv file. It must contain the column name "DESCRIPTION"
Limitations for input type
The train.csv with maximum of 10,000 rows.
Input MIME type
text/csv, application/jsonSample input data
Output
Summary
Output contains two file. Tag_list -> which containts the topics a CSV file which contains the rows with its corresponding tags assigned.
Output MIME type
application/json, text/csvSample output data
Sample notebook
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
Hierarchical topic modeling using LLM
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