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A development team aims to create a helpful technical support chatbot. They train a general-purpose language model on a large dataset consisting solely of their product's technical manuals. When tested, the model provides factually correct information but fails to engage in natural, back-and-forth conversation. Which of the following changes to the training data is most likely to improve the chatbot's conversational ability?
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Computing Sciences
Foundations of Large Language Models Course
Ch.4 Alignment - Foundations of Large Language Models
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
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A development team aims to create a helpful technical support chatbot. They train a general-purpose language model on a large dataset consisting solely of their product's technical manuals. When tested, the model provides factually correct information but fails to engage in natural, back-and-forth conversation. Which of the following changes to the training data is most likely to improve the chatbot's conversational ability?
Selecting a Fine-Tuning Dataset for a Customer Support Chatbot
Crafting Training Data for a Specialized Chatbot