Remove 2020 Remove Clean Data Remove Supervised Learning
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When Scripts Aren’t Enough: Building Sustainable Enterprise Data Quality

Towards AI

2020) Scaling Laws for Neural Language Models [link] First formal study documenting empirical scaling laws Published by OpenAI The Data Quality Conundrum Not all data is created equal. Some argue that while scaling has driven progress so far, we may eventually exhaust high-quality training data, leading to diminishing returns.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. We have papers from 2020 where we showed that these models hallucinate less than regular parametric models. You need data that’s labeled and curated for your use case. AR: It’s not an either/or.

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Retrieval augmented generation (RAG): a conversation with its creator

Snorkel AI

As humans, we learn a lot of general stuff through self-supervised learning by just experiencing the world. We have papers from 2020 where we showed that these models hallucinate less than regular parametric models. You need data that’s labeled and curated for your use case. AR: It’s not an either/or.