Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

DECEMBER 18, 2023

In this article, we’ll discuss the following: What is synthetic data? Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Viso Suite is the End-to-End, No-Code Computer Vision Platform – Learn more What is Synthetic Data?

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Marktechpost

SEPTEMBER 2, 2023

On various Natural Language Processing (NLP) tasks, Large Language Models (LLMs) such as GPT-3.5 They optimize the LVLM using synthesized anomalous visual-textual data and incorporating IAD expertise. Direct training using IAD data, however, needs to be improved. Data scarcity is the first.

Data Scarcity 122

Data Scarcity Large Language Models Natural Language Processing LLM 122

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.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Topbots

DECEMBER 19, 2023

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. However, beyond four epochs, the additional computational investment yields diminishing returns.

Large Language Models 110

Large Language Models Natural Language Processing AI Researcher AI Research 110

Pickl AI

FEBRUARY 1, 2023

Thus it reduces the amount of data and computational need. Transfer Learning has various applications like computer vision, NLP, recommendation systems, and robotics. This technology allows models to be fine-tuned using a limited amount of data. Thus it is computationally lesser expensive.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52