John Snow Labs

FEBRUARY 29, 2024

This breakthrough enabled the generation of data and images that have since played a crucial role in training medical professionals and developing diagnostic tools while maintaining patient privacy. They simulate trials predict responses and generate synthetic biological data to accelerate research while ensuring safety and effectiveness.

Generative AI 40

Generative AI AI AI AI Modeling 40

AssemblyAI

SEPTEMBER 22, 2023

In August – Meta released a tool for AI-generated audio named AudioCraft and open-sourced all of its underlying models, including MusicGen. Last week – StabilityAI launched StableAudio , a subscription-based platform for creating music with AI models.

Convolutional Neural Networks 246

Convolutional Neural Networks AI AI Data Scarcity 246

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.

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

AWS Machine Learning Blog

MARCH 14, 2024

Dealing with limited target data – In some cases, there is limited real-world data available for the target task. Model customization uses the pre-trained weights learned on larger datasets to overcome this data scarcity. You can potentially implement RAG with a customized model.

Generative AI 108

Generative AI Prompt Engineer Prompt Engineering AI 108

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

Marktechpost

APRIL 4, 2024

Gretel has made a remarkable contribution to the field of AI by launching the most extensive and diverse open-source Text-to-SQL dataset. This move will significantly accelerate the training of AI models and will enhance the quality of data-driven insights across various industries.

Artificial Intelligence 94

Artificial Intelligence Artificial Intelligence AI Modeling Data Scarcity 94

Unite.AI

MARCH 13, 2024

For offline use, Mistral AI's model boasts superior performance on coding tasks compared to Llama models, presenting an optimal choice for local LLM deployment, particularly for users with specific performance and hardware resource considerations.

Large Language Models 204

Large Language Models Natural Language Processing LLM Data Scarcity 204

Viso.ai

JANUARY 16, 2024

Types of N-Shot Learnings Unlike supervised learning, N-shot learning works to overcome the challenge of training deep learning and computer vision models with limited labeled data. For instance, recent research from Carnegie Mellon developed a framework to use audio and text to learn about visual data.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

Viso.ai

DECEMBER 15, 2023

It addresses issues in traditional end-to-end models, like data scarcity and lack of melody control, by separating lyric-to-template and template-to-melody processes. This approach enables high-quality, controllable melody generation with minimal lyric-melody paired data.

Computer Vision 52

Computer Vision Deep Learning AI AI 52