AWS Machine Learning Blog

FEBRUARY 12, 2025

Although fine-tuning with a large amount of high-quality original data remains the ideal approach, our findings highlight the promising potential of synthetic data generation as a viable solution when dealing with data scarcity. degree in Data Science from New York University. Sujeong holds a M.S.

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LLM Generative AI Deep Learning Data Scarcity 73

Pickl AI

OCTOBER 21, 2024

Data Scarcity in Certain Domains While ZSL alleviates some challenges associated with data scarcity, it does not eliminate them entirely—particularly in specialised fields where even related class data may be limited25.

Natural Language Processing 52

Natural Language Processing Data Scarcity Computer Vision Machine Learning 52

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. Model customization provides highly accurate results with comparable quality output than RAG.

Generative AI 122

Generative AI Prompt Engineering Prompt Engineer AI 122

Pickl AI

OCTOBER 9, 2024

Challenges and Limitations Despite their advantages, Small Language Models face challenges such as limited generalisation, data scarcity, and performance trade-offs, which necessitate ongoing research to enhance their effectiveness and applicability. Their narrow focus can limit their applicability in more generalised scenarios.

Natural Language Processing 52

Natural Language Processing Data Scarcity Large Language Models AI 52

Heartbeat

NOVEMBER 27, 2023

Data Scarcity and Quality Issues in Medical Imaging One significant challenge in medical image analysis is the need for labeled data, especially for rare diseases or specific patient populations. References Dylan et al. We're committed to supporting and inspiring developers and engineers from all walks of life.

Deep Learning 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

Heartbeat

FEBRUARY 27, 2024

Among these are: Data Augmentation: Data augmentation is a viable solution to some problems that multilingual prompt engineering presents, especially in the context of limited linguistic resources and data scarcity for low-resource languages. I hope this article was helpful.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52

AWS Machine Learning Blog

DECEMBER 4, 2024

Prior to joining AWS, Dr. Li held data science roles in the financial and retail industries. Melanie Li , PhD, is a Senior Generative AI Specialist Solutions Architect at AWS based in Sydney, Australia, where her focus is on working with customers to build solutions leveraging state-of-the-art AI and machine learning tools.

Machine Learning 92

Machine Learning Large Language Models Data Scarcity Auto-complete 92

Pickl AI

DECEMBER 3, 2024

This capability allows organisations to expand their datasets without the need for extensive data collection, thus enhancing model training and performance while addressing issues of data scarcity and imbalance effectively.

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Generative AI Automation Data Quality Data Scarcity 52