John Snow Labs

OCTOBER 13, 2023

of the library comes with a topic classification multi-label model using the INSTRUCTOR embedding. The model depends on the INSTRUCTOR embedding, which can be used in a Spark NLP pipeline as follows: embeddings = ( nlp.InstructorEmbeddings.pretrained("instructor_large", "en").setInstruction("Represent Fancy trying?

NLP 52

NLP 52

John Snow Labs

AUGUST 9, 2023

It can predict the topic of the question into one of the pre-selected law-related categories: business constitutional law contract law copyright criminal law employment liability privacy tax law trademark Please note that some categories from the original data were removed (e.g., internet”) due to limited examples.

NLP 98

NLP Categorization 98

AssemblyAI

APRIL 3, 2024

  Universal-1 is trained on four major languages: English, Spanish, French, and German, and shows extremely strong speech-to-text accuracy in almost all conditions, including heavy background noise, accented speech, natural conversations, and changes in language, while achieving fast turn-around time and improved timestamp accuracy.

Metadata 347

Metadata OpenAI Automation AI Modeling 347

Lexalytics

APRIL 5, 2021

And indeed we can see other machine learning topics arising to take their place, like “optimization” in the mid-’00s, with “deep learning” springing out of nowhere in 2012. This certainly contributed to the fading of mentions of “neural network” since the appearance of all these new topics could only serve to dilute its document frequency.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

ML Review

MAY 3, 2018

This topic, when broached, has historically been a source of contention among linguists, neuroscientists and AI researchers. We will continue to experiment with scope and timelines, to understand how best to convey topics to the reader. Deep Learning est en train de mourir. Vive Differentiable Programming! [27]

Neural Network 52

Neural Network Computer Vision Deep Learning Convolutional Neural Networks 52