Google has recently introduced its new chatbot, Bard AI, which is designed to complement the company’s search engine. Based on Google’s LaMDA language model, Bard is a generative and conversational AI chatbot that can have conversations on a variety of topics and generate brand-new text that doesn’t exist anywhere else. In this article, we will discuss everything you need to know about Google’s Bard AI and how it compares to other chatbots like ChatGPT.
What is Google’s Bard AI?
Google’s Bard is a generative and conversational AI chatbot, similar to ChatGPT and Bing Chat. The chatbot can help with creative tasks, explaining complex topics, and generally distilling information from various sources on the internet. It can also help with nuanced queries like finding recipes tailored to the ingredients you have in your fridge. In its announcement blog post, Google said we could use the chatbot to “learn more about the best strikers in football right now, and then get drills to build your skills” or “explain new discoveries from NASA’s James Webb Space Telescope to a 9-year-old.”
How does Google Bard work?
Google’s Bard chatbot shares some similarities with ChatGPT. Both use a large language model at their core and have been optimized for open-ended conversations. However, they do not use the same model — ChatGPT uses GPT-3.5, while Bard is set to use Google’s own LaMDA model. The chatbot’s ability to generate text depends on its training data. For example, ChatGPT has a knowledge cut-off date of 2021. If you ask about events that took place after, it may respond with completely made-up information. Likewise, any biases in the training data can also lead to skewed responses. These two limitations likely explain why Google has taken so long to bring Bard to market. Bard could potentially generate inaccurate but authoritative-sounding answers, which could then lead to the spread of misinformation.
What is LaMDA?
LaMDA stands for Language Model for Dialogue Applications. It’s a machine learning model that’s trained on text samples and optimized to predict words and sentences. To build LaMDA, Google used its own open-source Transformer-based neural network architecture and refined the model for dialogue. Google used a dataset of 1.56 trillion words for LaMDA, which it sourced from “public dialog data and other public web documents”. This implies that the company has specifically trained LaMDA for conversational tasks.
How to use Google Bard AI?
Calvin Wankhede / Android Authority
Google hasn’t revealed information about Bard’s general availability just yet. The latest information we have is that the chatbot is available to “trusted testers” at the moment. Google says it will open up access to the general public over the coming weeks but we don’t have a concrete timeline. Given the huge demand for conversational chatbots, Google will likely restrict access to a small number of users initially. In other words, Bard’s preview phase might be locked behind a waitlist similar to the one you have to join for Bing Chat right now.