The future of conversational AI

The text discusses the shift in AI design from natural language understanding (NLU) to natural language generation (NLG), with a focus on controlling generated output, persona design, knowledge management, bias, and prompt chaining. As LLMs become more prevalent, designers will need to adapt their approach to crafting flexible prompts that can generate desired outputs, designing personas that capture the human touch, managing knowledge bases to improve model accuracy, mitigating bias and oversight issues, and developing skills like prompt chaining to create repeatable outcomes. The future of AI-generated conversations is expected to be shaped by these changes, with a focus on interpretability, privacy, and oversight.

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