Sundar Pichai, CEO of Google and parent company Alphabet, announced publicly that the tech giant is launching an AI-powered chatbot named "Bard" in an effort to compete with the Microsoft-supported ChatGPT tool.
According to a blog post by Pichai, "Bard", its AI-powered chatbot, will undergo testing by a group of testers before being released to the general public in the upcoming weeks.
The chatbot is constructed on the company's existing large language model, Lamda, and one engineer has stated that its responses are so human-like that he believed it to be sentient.
Additionally, the tech giant has revealed new AI tools for its current search engine.
Additionally, he stated that the chatbot will have the capability to simplify intricate subjects, such as the recent findings from NASA's James Webb Space Telescope, for a child as young as nine years old.
"Bard seeks to combine the breadth of the world's knowledge with the power, intelligence, and creativity of our large language models," wrote Sundar Pichai in a blog.
Artificial Intelligence chatbots, like ChatGPT, are created for the purpose of responding to inquiries and accessing information. ChatGPT is the most renowned illustration of such technology yet present.
As per the BBC, Google's announcement comes after widespread speculation that Microsoft is planning to integrate the AI chatbot “Brad” into its search engine Bing, following a multi-billion dollar investment in OpenAI.
These chatbots utilize the vast resources of the internet as a huge knowledge base, however, there are several concerns associated with this technology, including the presence of inappropriate content and misinformation.
"AI can be helpful in these moments, synthesizing insights for questions where there's no one right answer. Soon, you'll see AI-powered features in Search that distill complex information and multiple perspectives into easy-to-digest formats, so you can quickly understand the big picture and learn more from the web,” he wrote.
Chatbots are created using a combination of Natural Language Processing (NLP) and Machine Learning (ML) algorithms. The process typically involves- collecting and preparing data that the chatbot will use to learn and respond to users. This data can come from sources such as customer support transcripts, websites, and social media.
