Introduction

According to Bard Statistics, Google Bard is a chatbot developed by Google to facilitate natural conversations through cutting-edge technology like natural language processing and machine learning. It goes beyond enhancing Google search by seamlessly integrating into websites, messaging apps, or applications, delivering responses that mimic human interaction.

Bard aims to improve the search experience by enabling users to ask questions in everyday language, eliminating the need for specific keywords. It's trained on real conversations, ensuring its responses are relatable and natural, with added context for more meaningful information. One standout feature is its ability to handle follow-up questions, a unique aspect of search tools.

This dataset contains the 30 questions that were posed to the chatbots (i) ChatGPT-3.5; (ii) ChatGPT-4; and (iii) Google Bard, in May 2023 for the study “Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard”. These 30 questions describe mathematics and logic problems that have a unique correct answer. The questions are fully described with plain text only, without the need for any images or special formatting. The questions are divided into two sets of 15 questions each (Set A and Set B). The questions of Set A are 15 “Original” problems that cannot be found online, at least in their exact wording, while Set B contains 15 “Published” problems that one can find online by searching on the internet, usually with their solution. Each question is posed three times to each chatbot.

This dataset contains the following: (i) The full set of the 30 questions, A01-A15 and B01-B15; (ii) the correct answer for each one of them; (iii) an explanation of the solution, for the problems where such an explanation is needed, (iv) the 30 (questions) × 3 (chatbots) × 3 (answers) = 270 detailed answers of the chatbots. For the published problems of Set B, we also provide a reference to the source where each problem was taken from.

The dataset of the queries and chatbot responses for the paper The silence of the LLMs: Cross-lingual analysis of guardrail-related political bias and false information prevalence in ChatGPT, Google Bard (Gemini), and Bing Chat

As of September 2024, around ** percent of adult artificial intelligence (AI) tool users in the United States stated they would use ChatGPT again, making it the most retaining solution of this kind in the country. Google Gemini (formerly Bard) and Adobe Firefly ranked second and third, as cited by ** and ** percent of respondents each, followed by Meta AI and Microsoft Copilot (formerly Bing Chat), as mentioned ** percent of interviewees each. Overall, around ** percent of the interviewees stated they had used artificial intelligence (AI) tools that year.

Lecturers are increasingly attempting to use large language models (LLMs) to simplify and make the creation of exercises for students more efficient. Efforts are also being made to automate the exercise creation process in software engineering (SE) education. This study explores the use of advanced LLMs, including GPT-4 and LaMDA, for automated programming exercise creation in higher education and compares the results with related work using GPT-3.5-turbo. Utilizing applications such as ChatGPT, Bing AI Chat, and Google Bard, we identify LLMs capable of initiating different exercise designs. However, manual refinement is crucial for accuracy. Common error patterns across LLMs highlight challenges in complex programming concepts, while specific strengths in various topics showcase model distinctions. This research underscores LLMs' value in exercise generation, emphasizing the critical role of human supervision in refining these processes. Our concise insights cater to educators, practitioners, and other researchers seeking to enhance SE education through LLM applications.

During a 2023 survey conducted among professionals in the United States, it was found that 37 percent of those working in advertising or marketing had used artificial intelligence (AI) to assist with work-related tasks. Healthcare, however, had the lowest rate of AI usage with only 15 percent of those asked having used it at work. The rate of adoption in marketing and advertising is understandable, as it is the industry that most weaves together art and creative mediums in its processes.

Generative AI linked to education

Those positions that require a higher level of education are most at risk of being automated with generative AI in the U.S. This is simply because those jobs that require less formal education are rarely digital positions and are more reliant on physical labor. Jobs that require tertiary education, however, are still the least likely to be automated overall, even with the added influence of generative AI.

ChatGPT has competitors

While the OpenAI-developed ChatGPT is the most well-known AI program and the currently most advanced large language model, - other competitors are catching up. While just over half of respondents in the U.S. had heard of or used ChatGPT, nearly half of respondents had also heard of or used Bing Chat. Google’s Bard was slightly behind, with only around a third of Americans having heard of or used it.

The generative artificial intelligence (AI) market is expected to rise significantly, from ** billion U.S. dollars in 2020 to nearly *** billion U.S. dollars in 2024 and more than *** trillion U.S. dollars in 2032. This is due to an explosion of generative AI tools in recent years such as Bard by Google, ChatGPT by OpenAI, and Midjourney by Midjourney, Inc.

As of September 2024, around ** percent of adult artificial intelligence (AI) tool users in the United States have seen or heard about ChatGPT in the media, social media, or advertising, making it the most acknowledged solution in the country. Google Gemini (formerly Bard) and Meta AI ranked second and third, as cited by ** percent of respondents each. Overall, around ** percent of the interviewees stated they had used artificial intelligence (AI) tools that year.

As of September 2024, around ** percent of adult artificial intelligence (AI) tool users in the United States preferred ChatGPT, making it the most liked AI-powered tool in the country. Google Gemini (formerly Bard) ranked second, as cited by ** percent of respondents. Meta AI and Microsoft Copilot (formerly Bing Chat) followed, being preferred by around ** percent and ** percent of interviewees, respectively. Overall, around ** percent of the interviewees stated they had used artificial intelligence (AI) tools that year.