Apogee Suite: AI-Powered Legal Document Research Platform
By VICTOR ANJOS
Document AI and ChatGPT are a match made in heaven! Large language models like ChatGPT have been revolutionizing the world of natural language processing (NLP) and offering innovative ways for businesses to extract value from their documents. In this article, we will explore how 1000ML, a company focused largely on NLP and product suite on Document AI, is using large language models like ChatGPT to drive innovation and unlock new value for businesses.
Document AI: Overview and Capabilities
Before the advent of AI-powered document processing, document management and intelligent document processing (IDP) systems were the norm for businesses to process documents. However, these older systems were largely rules-based and relied on templated or form-based documents to extract information.
In contrast, Document AI is a more advanced system that uses semantics and context to get the answers that businesses want from their documents. It offers a range of capabilities, including summarization, sentiment analysis, entity extraction, document classification, OCR capabilities, and the ability to extract and fill out forms.
Document AI also offers unique capabilities such as translating documents almost instantly, extracting tables and digitizing them, and even allowing businesses to have Q&A with their documents. These features make it easier for businesses to find and extract value from their documents.
ChatGPT: Overview and Capabilities
ChatGPT is a large language model that can generate non-formulaic and almost creative style language. It offers businesses new ways to analyze and generate text, and it has been creating buzz in the world of copywriting and other language-based professions.
ChatGPT is just one of several large language models that have been developed, with GPT-3 being the most advanced model until recently. Now, GPT-3.5, which includes ChatGPT, has been released, and GPT-4 is set to be released in early 2024. These models offer businesses the ability to analyze and understand vast amounts of text in ways that were not possible before.
How Apogee Suite Uses Large Language Models to blend Document AI and ChatGPT
At 1000ML, the team is leveraging both Document AI and ChatGPT to drive innovation and unlock new value for businesses. With Document AI, the team is focused on helping businesses extract value from their documents by leveraging its range of capabilities.
Meanwhile, the team is also using ChatGPT to generate high-quality text for various purposes. For example, ChatGPT can be used to generate product descriptions, customer reviews, and even social media posts. This can help businesses save time and money by automating these tasks, and it can also help improve the quality of the content being generated.
Overall, the team at 1000ML is excited about the potential of large language models like Document AI and ChatGPT, and they are looking for new and innovative ways to leverage these models to drive value for their clients. As these models continue to advance and evolve, we can expect to see even more exciting applications of AI-powered NLP in the future.
Apogee Suite of NLP and AI tools made by 1000ml has helped Small and Medium Businesses in several industries, large Enterprises and Government Ministries gain an understanding of the Intelligence that exists within their documents, contracts, and generally, any content.
Our toolset – Apogee, Zenith and Mensa work together to allow for:
- Any document, contract and/or content ingested and understood
- Document (Type) Classification
- Content Summarization
- Metadata (or text) Extraction
- Table (and embedded text) Extraction
- Conversational AI (chatbot)
Search, Javascript SDK and API
- Document Intelligence
- Intelligent Document Processing
- ERP NLP Data Augmentation
- Judicial Case Prediction Engine
- Digital Navigation AI
- No-configuration FAQ Bots
- and many more
Check out our next webinar dates below to find out how 1000ml’s tool works with your organization’s systems to create opportunities for Robotic Process Automation (RPA) and automatic, self-learning data pipelines.
