LaMDA is the product of painstaking years of research in a major branch of AI called natural language processing, or NLP.
The objective of NLP is to allow computers to “understand” natural human language—that is, language as it is commonly used by people—and to act on it in an appropriate manner.
This means that we are able to use and interact with computer programs without having to learn code, and computers are able to respond to our input with the same kind of language we use.
You might be familiar with the concept in the form dominican republic mobile database of virtual assistants like Siri or Alexa, which use speech-to-text technology to process a wide variety of requests from playing songs to noting down appointments in your calendar.
Of course, that’s not all that NLP can do. Natural language processing has a wide range of applications today, some of which can be startling to someone unfamiliar with the current state of AI. Examples include summarizing long texts, drafting emails, and even writing short stories based on prompts!
LaMDA, in particular, was built for dialogue (it’s in the name after all—Language Model for Dialogue Applications), which is why it was so good at responding in conversation.