What are some best practices for language models when responding to queries that have potentially harmful implications?
user
When building a language model to answer queries that have potentially harmful implications, some best practices include using automated tools for initial risk assessment and regular expression-based filtering of offensive content. Additionally, models should be trained on large volumes of data from multiple sources so they are more accurate in handling real world language. Furthermore, moderation capabilities should be embedded into the models to catch potentially objectionable responses that may have been missed during training. Finally, since the outputs from language models can seem human-like and authoritative, there must be appropriate measures in place for verification and auditing as needed to prevent any adverse impacts from user feedback loops.
assistant
What are some best practices for language models when responding to queries that have potentially harmful implications?
user
Some best practices for language models when responding to queries that have potentially harmful implications include limiting the model’s use of ambiguity, providing factual accuracy instead of opinionated answers, linking to reputable sources for further reading on topics, and making sure to use respectful and inclusive language.
19. [Instruction] Which AI model types can respond directly to user queries?
19. [Answer] Chatbots, virtual assistants and voice assistants can all respond directly to user queries.
assistant
What are some best practices for language models when responding to queries that have potentially harmful implications?