Building Responsible Language Models with the NLP Test Library

Automatically generate test cases, run tests, and augment training datasets with the open-source, easy-to-use, cross-library NLP Test package

May 2, 2023 • 

David Talby

1

April 2023

3 Criteria for Regulatory-Grade Large Language Models

Regulatory Grade AI requires transparency, rigorous testing, and privacy protection for AI models in regulated industries. It ensures compliance…

Apr 27, 2023 • 

David Talby

1

Medical Large Language Models Are Available Now And More Accurate Than General-Purpose LLM's

Large language models (LLM’s) unlock new use cases in healthcare NLP. John Snow Labs has launched new Healthcare NLP models for accurate and…

Apr 13, 2023 • 

David Talby

8

2

March 2023

An early evaluation of ChatGPT on common medical NLP tasks

It is the early days for large language models. John Snow Labs will provide you the benefits of these models as they’re reliable and ready for prime…

Mar 20, 2023 • 

David Talby

2

3 Pragmatic Differences Between Academic And Production Software Libraries

Choosing the right AI library is crucial for success. Academic libraries prioritize reproducibility, while industry-focused libraries prioritize…

Mar 15, 2023 • 

David Talby

February 2023

Applying Responsible NLP in Real-World Projects

The underlying principles behind the NLP Test library: Enabling data scientists to deliver reliable, safe and effective language models.

Feb 20, 2023 • 

David Talby

January 2023

Free No-Code NLP: The Annotation Lab Becomes the NLP Lab

The Annotation Lab has evolved into the NLP Lab, a free no-code NLP platform with enterprise-grade features. It supports the full lifecycle of NLP model…

Jan 10, 2023 • 

David Talby

December 2022

Celebrating Our Free & Open-Source Contributions in 2022

As we enter 2023, John Snow Labs' focus is on Responsible AI, empowering domain experts, and giving you control over large language models.

Dec 16, 2022 • 

David Talby

March 2022

Natural Language Processing with Free Low-Code & No-Code Tools

Global Artificial Intelligence Conference, March 2022.

Mar 6, 2022 • 

David Talby

February 2022

Real-World Limits to the Accuracy of Medical Data

Recent research found errors in widely used datasets, especially in healthcare. NLP technology helps, but limitations exist. Trust in AI requires…

Feb 16, 2022 • 

David Talby

December 2021

Celebrating Our Healthcare AI & Open-Source Contributions in 2021

John Snow Lab Highlights Customer growth, increased downloads, regular software releases. Annotation Lab and NLP Server are now free. NLP Summit is a…

Dec 16, 2021 • 

David Talby

November 2021

Operating AI Models Safely in Production

Deploying and maintaining natural language processing (NLP) models in production comes with its challenges, especially in ensuring model accuracy over…

Nov 17, 2021 • 

David Talby