Introduction: Using Transformers to Generate Text
Discover how transformers revolutionized natural language processing by learning about attention, self-attention, and contextual embeddings. Understand the evolution from LSTMs and word embeddings to state-of-the-art models like GPT-2, and build a text-generation pipeline using these advanced methods.
We'll cover the following...
We'll cover the following...
The NLP domain has seen some remarkable leaps in the way we understand, represent, and process textual data. From handling long-range dependencies/sequences using LSTMs and GRUs to building dense vector representations using word2vec and friends, the field, in ...