A development team is building a customer service chatbot for a financial institution using a state-of-the-art, general-purpose language model. Through sophisticated prompting, they have enabled the chatbot to answer general queries. However, it consistently fails to follow the institution's strict, multi-step identity verification protocol and sometimes provides financial advice that contradicts company policy. Based on these issues, what is the most likely reason for the chatbot's shortcomings
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Ch.1 Pre-training - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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 is building a customer service chatbot for a financial institution using a state-of-the-art, general-purpose language model. Through sophisticated prompting, they have enabled the chatbot to answer general queries. However, it consistently fails to follow the institution's strict, multi-step identity verification protocol and sometimes provides financial advice that contradicts company policy. Based on these issues, what is the most likely reason for the chatbot's shortcomings