Small Language Models
Offering small language models (~100 million parameters) as a Service.
These LLMs are deployed on affordable cloud compute and provide good througput of 20 words per sec.
These models can be used in the following use cases.
Question and Answering
We are excited to announce the release of version 1.0 of our question-answering model as a service, a compact 128 million parameter model designed for efficient performance.
This service can be used in the following applications:
- Document Question and Answering
- FAQ generation
Summarization
We have released version 1.0 of our summarization model as a service, a compact 128 million parameter model designed for effective text summarization.
Review/Sentiment Analysis
We have released v1.0 review LLM as a service to read and understand the emotions and opinions expressed in text-based comments and reviews.
It can detect whether the tone is positive, negative, or neutral, and identify the underlying sentiment.
This service can be used in the following applications:
- Product Review Analysis
- Sentiment Analysis
Entity Extraction
Entity Extraction service uses Large Language Model to automatically identify and extract entities from unstructured documents, such as text files.
This service can be used in the following applications:
- Knowledge Graphs
