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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
Importance of Understanding Data for Model Building
Understanding the data is crucial for effective model building. Close engagement with the data enables a co-development process of data sets and models, rather than just a model training problem. Organizations can improve model training by evaluating loss per region on a data set to increase exposure on specific domains. This approach involves online training and monitoring the models' evolution on specific subsets of the data.
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