Building upon the success of OpenAI’s ChatGPT, Google has introduced its own conversational AI chat service, Bard. Equipped with an array of capabilities such as coding, solving mathematical problems, and aiding in writing tasks, Bard is designed to cater to a wide array of user needs. The most distinctive feature of Google Bard is its ability to pull information directly from the web.
Bard Announcement and Background
Google Bard was first unveiled on February 6th in a statement from Google and Alphabet CEO, Sundar Pichai. Despite being a new concept, it hinged on the power of Google’s Language Model for Dialogue Applications (LaMDA), which was previously launched two years prior.
Bard Enhanced Features
In a bid to improve user experience, Bard was updated in late May to include images in its responses. This feature, which sources images from Google, comes into play when a query can be more effectively answered with the inclusion of a visual aid.
Google Bard: An In-Depth Look at the AI Chatbot
There’s been a surge of interest in artificial intelligence (AI), with OpenAI leading the charge with its transformative ChatGPT service. Microsoft is now seeking to incorporate this into Office 365 and Bing search. Concurrently, Google, which has adopted an “AI-first” approach since 2017, has launched a new AI chatbot named Bard. Amidst an ocean of technical jargon and acronyms, it can be challenging to understand what these innovative tools offer.
While Google Search employs AI to comprehend everyday language and power applications like Google Lens and Google Assistant, Bard differs in its ability to hold conversations and answer queries. However, there’s more to this technology than meets the eye.
In its current iteration, Google Bard is powered by Google’s PaLM 2, the tech giant’s latest and most advanced large language model (LLM). The model was introduced at Google I/O 2023 and is an upgraded version of the original PaLM, which was released in April 2022. This advancement enables Bard to operate more efficiently and perform at a higher level.
Originally, Bard employed a lightweight version of LaMDA, due to its less demanding computational requirements and scalability. Interestingly, both LaMDA and GPT-3, the language model that powers ChatGPT, are based on Transformer, a neural network architecture invented and open-sourced by Google in 2017. Google’s decision to use its own LLMs, LaMDA and PaLM 2, marked a significant departure from popular AI chatbots that rely on the GPT series of language models.
The Origin and Function of Bard
At its core, Bard is a generative AI, akin to ChatGPT and DALL-E. As an AI chatbot, Bard’s primary function is to generate text that responds to questions in a conversational manner. Bard, a large language model (LLM), has been trained on vast amounts of text data to process natural language effectively. Bard’s integration with Google Search, which provides it with up-to-date data, compensates for potential issues with its training data. Contrary to the idea that Bard was hastily launched to compete with ChatGPT 4, it has been in development for years, based on Google’s Transformer deep learning model made public in 2017 and the Language Model for Dialogue Applications (LaMDA) released in 2021.
In recent times, Bard has become a focal point for Google, with the company restructuring its Assistant team to bolster Bard’s development. Continuous improvements have been made to the chatbot since its introduction, and it appears that Bard is here to stay.
The Significance of the Name ‘Bard’
‘Bard,’ a term for ‘poet,’ is reflective of the chatbot’s linguistic abilities. The name also has a nerdy origin that aligns with Google’s naming style. Bards are characters in Dungeons and Dragons and were the inspiration for The Bard’s Tale game series on the Apple II.
How Bard Operates
Google aims for Bard to complement the Knowledge Graph Cards that appear in Search when queries with straightforward answers are made. Bard is designed to respond to NORA (No One Right Answer) questions. It employs LaMDA language models to comprehend your question and its context, and then uses data from the web to formulate a response. The objective is to provide high-quality answers that resemble those from a real person.
Google envisions this tool to enhance your understanding of topics and assist in decision-making. Bard operates as an independent utility rather than a function of Google Search. It can remember your inputs during a single session, which allows for more refined responses based on previous questions. If Bard provides ambiguous information, you can prompt it for clarity, and it will rectify its mistake and apologize.
Ethical Considerations of Bard and Generative AI
While Bard, ChatGPT-4, and other AI chatbots can deliver quick responses, they may not always be accurate. The answers these platforms provide can be influenced by biases in their training datasets, conflicting or outdated information, and other factors.