The promise and perils of synthetic data | TechCrunch
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from TechCrunch1 month ago
AI systems, being statistical machines, rely on massive examples of well-annotated data to learn patterns and make predictions, as seen in various model training efforts.
TechCrunchhttps://techcrunch.com/2024/12/24/the-promise-and-perils-of-synthetic-data/
The market for AI data annotation services has grown significantly, currently valued at $838.2 million, and is projected to reach $10.34 billion in the next decade.
TechCrunchhttps://techcrunch.com/2024/12/24/the-promise-and-perils-of-synthetic-data/
Synthetic data, increasingly sourced from AI-generated outputs, raises questions about its effectiveness compared to real data in training AI systems.
TechCrunchhttps://techcrunch.com/2024/12/24/the-promise-and-perils-of-synthetic-data/
As new real data becomes scarce, companies like Anthropic and OpenAI are turning to AI-generated data for training their models, exploring the potential of synthetic data.
TechCrunchhttps://techcrunch.com/2024/12/24/the-promise-and-perils-of-synthetic-data/
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#artificial-intelligence #data-annotation #synthetic-data #machine-learning #model-training
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