Post by arfankj4 on Mar 9, 2024 13:26:03 GMT 2
Given its popularity and potential we often ask ourselves how can companies use Generative AI to achieve some business purpose What benefits can Generative AI bring to the overall customer experience Coding capabilities aside the exact potential of Generative AI in a business context used as a conversational tool is still uncertain. Although Generative AI can help companies instantly compose content and responses that can be used in a conversational environment its customer facing operability is questionable.
ChatGPT has the ability to chat that is answer questions and have conversations with users. But the accuracy and appropriateness of responses can pose risks for a company implementing ChatGPT especially when brand voice and control Poland Mobile Number List are critical. To be fair no great language model is perfect. When put to the test ChatGPT has proven to have its own loopholes and cases of bias . Examples of inaccurate and strange conversations have been well documented in media reports on the topic and can also be detected after just a few interactions. There are also practical reasons why the current version of ChatGPT is not ready for the conversational tasks that businesses require. First of all ChatGPT may not be easily scalable.
Companies cannot spend hundreds of hours with a language model to ensure that it is ready for their particular use case. Conversational AI tools must be trained for a business use case and ready for immediate use . will not be able to sufficiently help a user complete personalized requests . For example if a user wants to check their account balance or change the details of a purchase the language model would have to go beyond its original intent and be able to access the account data identify the user and read accurately request or act accordingly.
ChatGPT has the ability to chat that is answer questions and have conversations with users. But the accuracy and appropriateness of responses can pose risks for a company implementing ChatGPT especially when brand voice and control Poland Mobile Number List are critical. To be fair no great language model is perfect. When put to the test ChatGPT has proven to have its own loopholes and cases of bias . Examples of inaccurate and strange conversations have been well documented in media reports on the topic and can also be detected after just a few interactions. There are also practical reasons why the current version of ChatGPT is not ready for the conversational tasks that businesses require. First of all ChatGPT may not be easily scalable.
Companies cannot spend hundreds of hours with a language model to ensure that it is ready for their particular use case. Conversational AI tools must be trained for a business use case and ready for immediate use . will not be able to sufficiently help a user complete personalized requests . For example if a user wants to check their account balance or change the details of a purchase the language model would have to go beyond its original intent and be able to access the account data identify the user and read accurately request or act accordingly.