Chatbots will become a lot more useful once we can limit their answers to things that are relevant and factual.
AI21 Labs recently launched “Contextual Answers,” a question-answering engine for large language models .
The launch of ChatGPT and similar artificial intelligence products has been paradigm-shifting for the AI industry, but a lack of trustworthiness makes adoption a difficult prospect for many businesses.nearly half of their workdays searching for information. This presents a huge opportunity for chatbots capable of performing search functions; however, most chatbots aren’t geared toward enterprise.
“Most businesses struggle to adopt [AI], citing cost, complexity and lack of the models’ specialization in their organizational data, leading to responses that are incorrect, ‘hallucinated’ or inappropriate for the context.” Typically, when a user queries a chatbot, it’ll output a response even if there isn’t enough information in its data set to give factual information. In these cases, rather than output a low-confidence answer such as “I don’t know,” LLMs will often make up information without any factual basis.
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