Bard generates responses by using a process called natural language processing (NLP). NLP is a field of computer science that deals with the interaction between computers and human (natural) languages. Bard uses NLP to understand the meaning of your prompts and questions, and to generate responses that are relevant and informative.
Bard’s NLP capabilities are based on a large language model (LLM). An LLM is a statistical model that has been trained on a massive dataset of text and code. This dataset includes text from books, articles, websites, and code from GitHub repositories. Bard uses this dataset to learn the statistical relationships between words and phrases.
When ask Bard a question, Bard uses its NLP capabilities to understand the meaning of your question. Bard then uses its LLM to generate a response that is relevant and informative. Bard’s responses are generated in real time, which means that you can interact with Bard in a conversational way.