#Google Meena

Google's Brain research team is working on a human-like chatbot codenamed Meena. Unlike other chatbots, Meena employs an end-to-end trained neural conversation model which focuses on understanding the context to give meaningful replies. In the examples given, the human is asking Meena how things are going, and for movie recommendations. In both instances, Google's Meena was able to provide meaningful responses while keeping the conversation going at the same time. According to Google, Meena is trained on "341GB of text from public domain social media conversations, which is 8.5x more data than existing state-of-the-art generative models." To gauge the effectiveness of their training, Google created a new benchmark for chatbots, the Sensibleness and Specificity Average. Using this benchmark, Meena outperformed other chatbots by 23% and is only 7% away from human performance. Google notes that human-like chatbots may change how people use computers and have practical applications in both the movie and game industries. The team's next goal is to add personality, factuality, safety, and bias to Meena's responses. Read more in our articles including "Google is creating a human-like chatbot called Meena" and "Pasig Mega Market gets Starlink internet for cashless payments".