Before revision:  This 2.6B parameter neural network is  trained to minimize perplexity , an automatic metric that we compare against human judgement of multi-turn conversation quality. To capture this judgement, we propose a human evaluation metric called Sensibleness and Specificity Average (SSA), which captures key elements of good conversation.
After revision:  This 2.6B parameter neural network is trained to minimize perplexity of the next token. We also propose a human evaluation metric called Sensibleness and Specificity Average (SSA), which captures key elements of good conversation.