Heartbeat

FEBRUARY 27, 2024

In an increasingly interconnected and diverse world where communication transcends language barriers, the ability to communicate effectively with AI models in different languages is a vital tool. Imagine you have a robot that understands both English and French, and you want it to respond to queries or perform tasks in both languages.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Pickl AI

FEBRUARY 1, 2023

Transfer Learning is a technique in Machine Learning where a model is pre-trained on a large and general task. Since this technology operates in transferring weights from AI models, it eventually makes the training process for newer models faster and easier. Thus it reduces the amount of data and computational need.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52

Topbots

DECEMBER 19, 2023

The findings indicate that alleged emergent abilities might evaporate under different metrics or more robust statistical methods, suggesting that such abilities may not be fundamental properties of scaling AI models. The paper also explores alternative strategies to mitigate data scarcity.

Large Language Models 110

Large Language Models Natural Language Processing AI Researcher AI Research 110

Viso.ai

DECEMBER 6, 2023

Edge Computing: With the growth in data volume, processing visual data at the edge has become a crucial concept for the adoption of computer vision. Edge AI involves processing data near the source. Therefore, edge devices like servers or computers are connected to cameras and run AI models in real-time applications.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52