Perplexity AI uses reinforcement learning techniques, specifically Reinforcement Learning from Human Feedback (RLHF) .
As for data collection, Perplexity AI uses contractors to collect feedback from users regarding their summaries and completions. Contractors are also used to rate the summaries themselves. Additionally, LLMs (Large Language Models) can be prompted to do the work of the contractors .
Perplexity AI is committed to ensuring factual accuracy in their responses. They have a citation-first approach and strive to only provide information that can be cited or backed up by reliable sources .
It's worth mentioning that Perplexity AI is focused on growing their product and user base, with an emphasis on fast iteration and continuous improvement .
For more detailed information on Perplexity AI's techniques and strategies, you can refer to the provided sources.