This version of the NLP Lab, adds support for the creation and use of prompts for entities and relations identification within text documents. The goal of prompt engineering in this context is designing and crafting some questions, which are fed into a question-answering model together with some input text. The purpose is to guide the language model to generate specific and desired outputs, such as identifying entities or relations within the input text.
NLP Lab became the Generative AI Lab. It comes with support for zero-shot learning via prompts. Prompt engineering is a very recent but rapidly growing discipline that aims to guide...
Over the last year, Annotation Lab has grown to be much more than a document annotation tool. It became a full-fledged AI system, capable of testing pre-trained models and rules,...
Empowering Domain Experts to Build State-of-the-Art AI Solutions Without Code. Two years ago, Annotation Lab 1.0, no code AI platform, was launched by John Snow Labs, to respond to the...
The Free, Virtual Conference is the Largest Annual Gathering of Technology Leaders to Share Knowledge, Best Practices, and Advances in Natural Language Processing John Snow Labs, the healthcare AI and...
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