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NeurIPS 2023 Recap — Top Startups
Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0
The Role of Synthetic Data in Reducing Human Workload
Synthetic data is about reducing the human effort needed to create a useful dataset, rather than automating everything. It involves curating a dataset that a model generates, selecting preferred examples, and editing a few of them. This approach is particularly beneficial for studying millions of small properties or developing unit tests for language models, as it's impractical for humans to create them from scratch. The use of weak labeling in synthetic data generation has been a topic of discussion, with some experts believing it might have been too early to adopt and still holding faith in its potential within deep learning.
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