What are the key differences between GPT, BERT, and other LLMs?
Answer / Pankaj Gupta
GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), and other Language Models (LLM) are all based on the Transformer architecture but serve different purposes. GPT is primarily a text generator, while BERT is a model for pre-training contextualized word embeddings that can be fine-tuned for various tasks like question answering or sentiment analysis. Other LLMs might have different architectures or specific uses.
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