Google introduces ChatGPT competitor Bard.

• Google has announced Bard, a ChatGPT competitor that uses Google’s own language model.

About:

• Bard is based on the Language Model for Dialogue Application (LaMDA), Google’s own conversational AI chatbot.
• It will give in-depth, conversational and essay-style answers just like ChatGPT does right now.
  • However, the model is currently a “lightweight” version of LaMDA, and the one being “requires significantly less computing power, enabling it to scale to more users.

Features:

• It is built on Transformer technology, which is also the backbone of ChatGPT and other AI bots.
• Transformer technology was pioneered by Google and made open source in 2017.
• Transformer technology is a Neural Network Architecture, which is capable of making predictions based on inputs and is primarily used in natural language processing and computer vision technology.
• The architecture determines how the network processes information and influences its accuracy and efficiency in solving a particular problem. Common architectures include feedforward networks, recurrent networks, and convolutional neural networks.

Difference Between ChatGPT and Bard

• ChatGPT has impressed with its ability to respond to complex queries — though with varying degrees of accuracy — but its biggest shortcoming perhaps is that it cannot access real-time information from the Internet.
• But Microsoft just unveiled a new version of Bing that’s powered by ChatGPT which is a significant improvement of the version of ChatGPT.
• ChatGPT’s language model was trained on a vast dataset to generate text based on the input, and the dataset, at the moment, only includes information until 2021.
• Whereas, for questions where there might not be a clear-cut answer, Bard will synthesise a response that reflects differing opinions.

Concerns regarding AI-Based Generative Chatbots

• The text generation software from Google and OpenAI, can be extremely prone to inaccuracies, experts have pointed out.
• The ability to search the Internet in real-time, including content such as hate speech and racial and gender biases and stereotyping, could lead to problems, and take the sheen off these new products.
• Even with natural language processing, they may not fully comprehend a customer’s input and may provide incoherent answers.

Many chatbots are also limited in the scope of queries that they are able to respond to.