Unite.AI

JANUARY 22, 2024

Synthetic data , artificially generated to mimic real data, plays a crucial role in various applications, including machine learning , data analysis , testing, and privacy protection. However, generating synthetic data for NLP is non-trivial, demanding high linguistic knowledge, creativity, and diversity.

NLP 173

NLP BERT Data Scarcity Large Language Models 173

deepsense.ai

FEBRUARY 6, 2024

SegGPT Many successful approaches from NLP are now being translated into computer vision. For instance, the analogy of the masked token prediction task used to train BERT is known as masked image modeling in computer vision. Comparison of few-shot inference between NLP and CV. Source: own study. Source: own study.

Prompt Engineer 105

Prompt Engineer Prompt Engineering NLP Computer Vision 105

Pickl AI

OCTOBER 21, 2024

Natural Language Processing (NLP) In NLP tasks such as text classification or sentiment analysis, ZSL allows models to categorise documents or sentiments based on semantic understanding rather than explicit training examples. The post Zero-Shot Learning: Unlocking the Power of AI Without Training Data appeared first on Pickl.AI.

Natural Language Processing 52

Natural Language Processing Data Scarcity Computer Vision Machine Learning 52

Viso.ai

DECEMBER 15, 2023

Symbolic Music Understanding ( MusicBERT ): MusicBERT is based on the BERT (Bidirectional Encoder Representations from Transformers) NLP model. It focuses on generating hip-hop rap lyrics, utilizing NLP and machine learning techniques to produce rhythmically and thematically coherent verses.

Computer Vision 52

Computer Vision Deep Learning AI AI 52