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Today's discussion focuses on long form question answering, a subdomain of natural language processing (NLP). Question answering has seen significant growth in recent years, especially with the introduction of models like BERT. This technology has made question answering more feasible and widely applicable across various industries. At its core, question answering involves the retrieval of information in a human-like manner, making it a valuable tool for many organizations worldwide.