Large datasets and their indelible mark on NLP and LLMs
The era of big data and the subsequent rise of NLP and LLMs are deeply linked. The transformation of NLP and LLMs into today’s powerful developments cannot be discussed without mentioning the vast datasets that became available. Let’s explore this relationship.
Purpose – training, benchmarking, and domain expertise
At its core, the emergence of large datasets has provided the raw material required to train increasingly sophisticated models. Typically, the larger the dataset, the more comprehensive and diverse the information the model can learn from.
Large datasets not only serve as training grounds but also provide benchmarks for evaluating model performance. This has led to standardized measures, giving researchers clear targets and allowing for apples-to-apples comparisons between models. There is a collection of benchmarks that are common and can be used for evaluating LLMs. One famous and very...
