LaMDA, a neural network architecture created by Google, is based on Transformer, which was also used to build GPT-3, the language model that Chat GPT, operate on. Transformer is a type of deep learning model that excels at natural language processing tasks by breaking down input data into smaller parts and processing them in parallel, making it particularly effective for language models.
Google’s Bard, a new chatbot that uses a version of LaMDA, has sparked interest and controversy in the AI community for its unique approach to generating responses. Rather than relying solely on pre-programmed responses, Bard will use LaMDA to generate responses from the user’s query and draw from information across the web to provide fresh, high-quality responses.
Google has emphasized that LaMDA is not sentient and that Bard is still a chatbot, not a conscious AI entity. However, the use of a neural network architecture like LaMDA has led to discussions about the ethics of creating AI that can mimic human-like responses and whether they can lead to an eventual development of true artificial sentience.
While the technology behind LaMDA and Google Bard AI is impressive, it is important to consider the potential implications of creating AI that can generate seemingly “sentient” responses. Bard’s approach to generating responses is a major departure from traditional chatbots, which rely on a set of pre-programmed responses. However, it remains to be seen how effective Bard will be in generating responses that are truly human-like and whether the potential benefits of such technology outweigh the risks. Google Bard Login here