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Google creating a language model isn’t something new; in fact, Google LaMDA joins the likes of BERT and MUM as a way for machines to better understand user intent.
Google has researched language-based models for several years with the hope of training a model that could essentially hold an insightful and logical conversation on any topic.
So far, Google LaMDA appears to be the closest to reaching this milestone.
What Is Google LaMDA?
LaMDA, which stands for Language Models for Dialog Application, was created to enable software to better engage in a fluid and natural conversation.
LaMDA is based on the same transformer architecture as other language models such as BERT and GPT-3.
However, due to its training, LaMDA can understand nuanced questions and conversations covering several different topics.
With other models, because of the open-ended nature of conversations, you could end up speaking about something completely different, despite initially focusing on a single topic.
This behavior can easily confuse most conversational models and chatbots.
During last year’s Google I/O announcement, we saw that LaMDA was built to overcome these issues.
The demonstration proved how the model could naturally carry out a conversation on a randomly given topic.
Despite the stream of loosely associated...
Read Full Story: https://www.searchenginejournal.com/how-google-lamda-works/442064/
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