#synthetic-data
#synthetic-data
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#artificial-intelligence
Artificial intelligence
fromITPro
4 months agoWhat is synthetic data?
Synthetic data can address the data shortage crisis by providing artificial datasets that mimic real data.
Advancements in AI, particularly with large language models, are transforming how synthetic data is created.
Marketing tech
fromMarTech
2 months agoWhat AI adoption in market research means for agency and brand marketers | MarTech
A significant majority of market researchers are adopting AI in their workflows, especially for data analysis and project setup.
Concerns about ethics and reliability hinder the acceptance of synthetic data among market researchers.
#ai
Artificial intelligence
fromWIRED
4 months agoDatabricks Has a Trick That Lets AI Models Improve Themselves
Databricks has developed a method to enhance AI performance with minimal clean data using reinforcement learning and synthetic data.
Artificial intelligence
fromZDNET
4 months agoWill synthetic data derail generative AI's momentum or be the breakthrough we need?
Synthetic data is crucial for AI development by enabling simulations where real data is costly or poses privacy risks.
#ai-ethics
London startup
fromTechzine Global
3 months agoAI without ethics will never truly serve humanity
Ethics in AI is crucial for creating technology that serves humanity responsibly.
Bias cannot be fully eliminated from datasets; understanding its nature is key.
Synthetic data has potential but also can introduce new biases if mismanaged.
Building trust in AI requires transparency and public education.
fromCreativeApplications.Net
4 months agoHabsburg AI Portrait Studies
The project, Habsburg AI Portrait Studies, explores the amplification of aesthetic characteristics in generative portraits, revealing insights into synthetic image generation processes and their implications.
Online Community Development
fromHackernoon
1 year agoData Quality is All You Need: Why Synthetic Data Is Not A Replacement For High-Quality Data | HackerNoon
Synthetic data cannot replace high-quality original data, as it poses risks like model collapse, especially when models rely heavily on recursively generated synthetic data.
Data science
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