Sold by: MphasisÂ
Deployed on AWS
Solution extracts topics from text data using hierarchy-based clustering, LLMs and unsupervised approaches.
Overview
Solution utilizes LLMs and clustering algorithms to enhance the quality of topics extracted 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.
Highlights
- An easy to use solution for generating high quality topics for your data. One area this solution will aid is 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.
- Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need customized Machine Learning and Deep Learning solutions? Get in touch!
Details
Sold by
Categories
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost |
|---|---|---|
ml.m5.large Inference (Batch) Recommended | Model inference on the ml.m5.large instance type, batch mode | $2.00/host/hour |
ml.g5.xlarge Training Recommended | Algorithm training on the ml.g5.xlarge instance type | $2.00/host/hour |
ml.m4.4xlarge Inference (Batch) | Model inference on the ml.m4.4xlarge instance type, batch mode | $2.00/host/hour |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $2.00/host/hour |
ml.m4.16xlarge Inference (Batch) | Model inference on the ml.m4.16xlarge instance type, batch mode | $2.00/host/hour |
ml.m5.2xlarge Inference (Batch) | Model inference on the ml.m5.2xlarge instance type, batch mode | $2.00/host/hour |
ml.p3.16xlarge Inference (Batch) | Model inference on the ml.p3.16xlarge instance type, batch mode | $2.00/host/hour |
ml.m4.2xlarge Inference (Batch) | Model inference on the ml.m4.2xlarge instance type, batch mode | $2.00/host/hour |
ml.c5.2xlarge Inference (Batch) | Model inference on the ml.c5.2xlarge instance type, batch mode | $2.00/host/hour |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $2.00/host/hour |
Vendor refund policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Bug Fixes
Additional details
Inputs
- 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
- application/json
https://github.com/Mphasis-ML-Marketplace/Hierarchical-topic-modeling-using-LLM/blob/main/input/train.csv
https://github.com/Mphasis-ML-Marketplace/Hierarchical-topic-modeling-using-LLM/blob/main/input/train.csv
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
DESCRIPTION | A column which contains the text from which you want to extract the topics. | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
For any assistance reach out to us at:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Hierarchical classifier using LLMs designed to classify text into multiple levels of categories based on predefined hierarchical structures.
Jupyter Notebook for Multi-layer Bounding Box
Optimize your document processing efforts with RAG with Enhanced Complex Table Handling and Smart Chunking. This advanced application addresses the challenges posed by generic language model systems, offering a comprehensive analysis of hierarchical tables and complex documents.
Transform your approach to intricate data challenges and augment your application development by integrating this solution into your existing systems. This specialized product offering accelerates your document-handling tasks and improves your decision-making process.
Up-to-date, customizable, and secure. OpenLDAP is the open-source solution for LDAP (Lightweight Directory Access Protocol). It is a protocol used to store and retrieve data from a hierarchical directory structure such as in databases.
XTS is a Cloud-Native Cross-Region Transmission Service which
improves the security of Cross-Region Transmission,
and provides Adaptive and Fair Hierarchical Transmission Control.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.