Unite.AI

SEPTEMBER 12, 2024

Over the past decade, Artificial Intelligence (AI) has made significant advancements, leading to transformative changes across various industries, including healthcare and finance. In recent years, it has become increasingly evident that even the most advanced AI models are only as good as the data they are trained on.

Data Quality 162

Data Quality Data Scarcity AI AI 162

Marktechpost

DECEMBER 15, 2024

The navigator then evaluates the fidelity of these instructions, filtering out low-quality data to train a better generator in subsequent iterations. This iterative refinement ensures continuous improvement in both the data quality and the models’ performance. Trending: LG AI Research Releases EXAONE 3.5:

Data Scarcity 73

Data Scarcity Data Quality Automation AI 73

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

Unite.AI

MARCH 13, 2024

Ensuring data quality, addressing potential biases, and maintaining strict privacy and security standards for sensitive medical data are the major concerns. Data Availability and Quality : Obtaining high-quality, domain-specific datasets is crucial for training accurate and reliable DSLMs.

Natural Language Processing 204

Natural Language Processing Large Language Models Data Scarcity LLM 204