Answer Natural Language Questions From Your Documents with GPT-J

Forefront now offers GPT-J powered natural language search & question answering, allowing users to search any amount of documents or text with questions and receive natural language answers.‍

Advances in natural language processing (NLP) technology have been coming at a fast pace over the past few years, allowing for new solutions to previously difficult problems. GPT-J is a recent development by the open source community, EleutherAI, and at Forefront, we have expanded its already vast capabilities by releasing specialized pre-trained models to common NLP problems.

Performing natural language search on large internal document sets provides value to any company with lots of internal information. Onboarding new employees, efficiently spreading knowledge to existing employees, and even enhancing customer experiences can all be improved with natural language search and question answering.

Previous techniques for searching involved complicated keyword matching and indexing. New natural language processing methods allow for indexing based on the meaning of text rather than the exact words used. This means you can now find information that’s related to what you’re asking, even if what you’re searching uses none of the same words as what you ought to find.‍

On top of this, Forefront has innovated on the end user experience by providing an easy method to get natural language answers to the questions you may have. Now when you have a question, you can get human-like answers along with the relevant references from your documents.‍

Here’s some example question answering with relevant documents stored in Elasticsearch.

‍‍Using this solution takes one click to deploy and gives you an HTTP endpoint for text embeddings and question answering. Here’s our guide with sample code sowing how easy it is to set up.‍

Search Q&A is one of many Forefront solutions you can access on our platform. It’s deployed to dedicated replicas giving you unlimited access at a flat price, so you can scale to high usage without breaking the bank. If you’d like access to Search Q&A, get in touch with our team.‍

Originally published at https://www.helloforefront.com.