1. Tasks that require emotional intelligence, like comforting someone in distress, are beyond the capabilities of current AI.
1. Human editors could review the generated content for relevance, coherence, and factual accuracy.
1. No, because while they can handle routine queries, they lack the emotional intelligence to manage complex or sensitive issues.
1. The complexity of queries might surpass the AI’s understanding, requiring human intervention for nuanced analysis.
1. By providing instant, 24/7 support, customers are likely to have their issues resolved quickly, leading to higher satisfaction.
1. All data could be encrypted end-to-end, ensuring that only authorized personnel can access it.
1. One ethical concern is the potential for misdiagnosis. If a conversational AI gives incorrect medical advice, it could lead to harmful…
The most useful areas for applying conversational generative AI in Software as a Service (SaaS) applications could include:
Interesting question! Should Socratic Q&A be stored separately or together with core subject matter in a vector store? The answer could…
Certainly! The Socratic method aims to stimulate critical thinking through a series of questions and answers. Let’s try applying it to your…
In the architecture where a local vector store returns answers from a query and the query and results are subsequently sent to a GPT model…
Here’s what it said.
