MACHINE LEARNING
“ The last 2 years have seen a huge rise due to the Generative Transformer model progress ”
BRAD MALLARD CHIEF TECHNOLOGY OFFICER , VERSION 1 democratisation , where small startups are now providing NLP services , this process of data curation and model fine -tuning can be a significant challenge .
“ There are many steps in the development lifecycle of NLP products ,” Sebastian explains . “ Training on raw unstructured textual data , tuning on human- or machine-created annotations , and deployment in live environments where the models may interact with knowledge graphs and metadata , extract information from structured databases , or be run on documents .”
aimagazine . com 113