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 is computationally lesser expensive.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 52

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

John Snow Labs

AUGUST 7, 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 59

Generative AI AI AI Algorithm 59

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 Algorithm 40

Pickl AI

DECEMBER 4, 2024

Democratisation of Data : Non-technical users can engage with advanced analytics tools, fostering a culture of data-driven decision-making across all levels of an organisation. This technology helps overcome challenges related to data scarcity and bias by generating realistic data that mimics real-world scenarios.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

Viso.ai

DECEMBER 15, 2023

Various AI tools are used to solve complex challenges, from comprehending complex musical structures to composing melodies and lyrics. 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.

Computer Vision 52

Computer Vision Deep Learning AI AI 52

Unite.AI

MARCH 13, 2024

Introduction The field of natural language processing (NLP) and language models has experienced a remarkable transformation in recent years, propelled by the advent of powerful large language models (LLMs) like GPT-4, PaLM, and Llama.

Natural Language Processing 204

Natural Language Processing Large Language Models Data Scarcity LLM 204

Marktechpost

DECEMBER 28, 2024

This field focuses on enabling machines to handle abstract mathematical reasoning with precision and rigor, extending AI’s applications in science, engineering, and other quantitative domains. Despite progress in applying AI to mathematics, significant challenges remain in addressing complex, abstract problems.

Data Scarcity 82

Data Scarcity Natural Language Processing Artificial Intelligence Artificial Intelligence 82

AWS Machine Learning Blog

DECEMBER 18, 2024

Overcoming data scarcity with translation and synthetic data generation When fine-tuning a custom version of the Mistral 7B LLM for the Italian language, Fastweb faced a major obstacle: high-quality Italian datasets were extremely limited or unavailable.

Large Language Models 100

Large Language Models Data Scarcity LLM Generative AI 100