How ELMo introduced contextual word representations before the transformer era.
ai
How Word2Vec learns dense vector representations that capture word meaning.
How LSTMs solve long-range memory problems in recurrent neural networks.
A practical introduction to recurrent neural networks and sequential modeling.
How LAMBADA tests long-context word prediction and why it mattered for language models.
A practical overview of GLUE and why it mattered for language understanding benchmarks.