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I gained an appreciation for the power of Natural Language Understanding (NLU) engines while experimenting with the predictive and classification capabilities of Large Language Models (LLMs).

What role can prompt engineering play in preventing LLM hallucination, and what constitutes a good LLM prompt? Furthermore, how are OpenAI's models impacting this?

Traditional NLU Can Be Leveraged By Following A Hybrid NLU & NLG Approach

LLMs can be divided into two categories: generative & predictive. The generative capabilities of LLMs have been the subject of much attention and discussion, and rightly so – they are incredibly impressive