The author expresses enthusiasm for applying large language models (LLMs) in language learning software but is critical of the current wave of conversational chat apps offered by startups. They find these apps to be unengaging and often reliant on direct translations of English phrases, which can result in a bland user experience. The author believes that while there is significant potential for LLMs in this area, the existing chatbots are too open-ended and underdeveloped.
The author questions the effectiveness and user retention of these tools, asking whether users find them helpful and if people are actually returning to use the product. This suggests a need for improvement in the design and functionality of language learning chatbots to better meet user needs and expectations.
Key takeaways:
The author is enthusiastic about applying LLMs in language learning software.
They are critical of conversational chat apps offered by startups, finding them bland and reliant on direct translations.
The author sees potential for LLMs in conversational tools but finds current offerings too open-ended and underdeveloped.
Questions are raised about the effectiveness and user retention of these conversational chat apps.
