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A Guide to Mastering Large Language Models

Unite.AI

Prompt engineering is crucial to steering LLMs effectively. Techniques like Word2Vec and BERT create embedding models which can be reused. Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words. LLMs utilize embeddings to understand word context.