Google has once again taken the technology world by storm with the announcement of its latest AI-powered chatbot, Google Bard. This innovative chatbot is designed to respond to various inquiries in a conversational manner, similar to ChatGPT. Google has used its language model for dialogue applications, LaMDA, at the heart of Bard.
LaMDA, which is built on the Transformer neural network architecture, provides Bard with the ability to give fresh, high-quality responses to users. The Transformer architecture, which was open-sourced by Google Research in 2017, has proven to be a popular choice among AI developers and researchers.
Interestingly, ChatGPT is also based on the GPT-3 language model, which is also based on the Transformer architecture. Despite this, Google Bard is set to shake up the chatbot market with its cutting-edge technology and advanced language model.
At present, Google Bard is not accessible for public testing, but select people have access. Google is producing a “lightweight model version of LaMDA” that uses far less computational resources, making it more accessible for widespread use.
Google has been working on its language model for some time, but its public release was halted following allegations made by one of its employees. However, with its new and improved AI chatbot, Google is set to revolutionize the way we interact with technology.
1/ In 2021, we shared next-gen language + conversation capabilities powered by our Language Model for Dialogue Applications (LaMDA). Coming soon: Bard, a new experimental conversational #GoogleAI service powered by LaMDA. https://t.co/cYo6iYdmQ1
— Sundar Pichai (@sundarpichai) February 6, 2023
Google Research in 2017: The Year of Open-Sourcing Transformer
Google Research had a major impact on the technology world in 2017 with its open-sourcing of the Transformer neural network architecture. This architecture was developed by the company’s research division and released to the public, making it freely available for use by developers and researchers.
The Transformer architecture quickly became a popular choice among AI developers and researchers due to its ability to handle sequence-to-sequence tasks, such as machine translation, with impressive accuracy. This was a major step forward for the field of AI and has paved the way for numerous advancements in the years since its release.
One of the most notable applications of the Transformer architecture is in the GPT-3 language model, which is the backbone of OpenAI’s popular AI language model, ChatGPT. Google’s own language model for dialogue applications, LaMDA, is also built on the Transformer architecture.
The open-sourcing of the Transformer architecture by Google Research in 2017 has had a significant impact on the advancement of AI technology. By making it freely available to developers and researchers, Google has enabled the creation of numerous innovative AI applications, many of which are being used in our daily lives.
