This webpage was constructed programmatically; to view the article in its original setting, you can follow the link below: https://www.coolest-gadgets.com/google-bard-statistics/and if you wish to have this article removed from our site, please reach out to us [ad_1] Introduction Google Bard Statistics: The Google Bard Statistics offer valuable insights into contemporary online search behaviors. Google Bard, an intelligent search platform utilizing AI and natural language technologies, has been garnering significant attention recently. Recent analytics indicate a 35% growth in its usage over the past year. This surge illustrates that an increasing number of individuals are leaning on its sophisticated functionalities. These figures imply notable market potential, with projected revenue growth of $500 million by year's end. These statistics underscore Google Bard's impact on the digital search landscape, providing businesses with essential insights to modify their strategies and maintain competitiveness in the rapidly evolving marketplace. If you haven't installed the Chrome extension yet, take a look! Editor’s Choice Google Gemini attracts approximately 275 million visits monthly, on average. 31.10% of its users fall within the 25 to 34 age range. The highest percentage of traffic originates from the United States, accounting for 14.6% of total visits. Individuals from more than 230 nations and regions can utilize the Gemini chatbot. Google Bard officially debuted on February 8, 2023, and was made accessible to the public on March 21, 2023. The title “Bard” is derived from Celtic storytellers celebrated for their storytelling prowess. Bard is founded on Google’s LaMDA model, which comprises language models with as many as 137 billion parameters. The estimated expense for executing each Bard search ranges between $0.006 and $0.031. According to Google Bard Statistics, over 76% of the traffic to Gemini is direct, while 16.77% stems from organic searches. In 2023, Google Bard had an average of 142.4 million users monthly. Upon its initial launch, 62.6% of users were from the United States. The demographics of the platform’s user base consist of 40% females and 60% males. Approximately 40% of users inquire about topics that pique their interest on Google Bard. The cost for each search conducted on Google Bard is between $0.006 and $0.031. The Infinite dataset utilized by Bard encompasses 1.56 trillion words, with half of the training data sourced from discussions in public forums. The United States generates the highest traffic, contributing 21.66% to the global visits to Google Bard. Bard operates in over 180 countries and regions. In May 2023, 380,567 devices accounted for all traffic to Google Bard. What is Google Bard? Google Gemini, formerly known as Bard, is an AI chatbot tool developed by Google to simulate human conversation through natural language processing (NLP) and machine learning technologies. It not only enhances Google Search but is also integrable into websites, messaging platforms, or applications to provide users with natural, human-like responses to their inquiries. Gemini embodies a suite of advanced AI models capable of comprehending language, audio, code, and video. Gemini 1.0 was launched on December 6, 2023, having been developed by Google’s DeepMind team, known for its path-breaking AI research. Google co-founder Sergey Brin significantly influenced the development of Gemini, in coordination with other members of the Google team. At the time of its launch, Gemini was the most sophisticated AI model at Google, facilitating Bard before its rebranding and superseding the previous AI model of the company, Pathways Language Model (Palm 2). Similar to Palm 2, Gemini was integrated into various Google technologies to provide AI-driven functionalities. (Source: alternatives.co) Jan 2023 Development Phase and Initial Research Bard is continuously tested and refined by Google’s AI research team. Mar 2023 Limited Beta Launch Bard is initially launched to a select group of invite-only users for testing and feedback purposes. May 2023 Closed Beta Expansion In response to favorable feedback, Bard broadens its beta access to a more extensive group of users across diverse segments. July 2023 Public Beta Launch Bard enters open beta, permitting anyone interested to explore it. Sep 2023 Initial Feature Updates Bard undergoes significant updates, such as enhanced search functionalities, data visualization tools, and more conversational interactions. Nov 2023 Integration with Google Products Bard starts integrating with additional Google products like Google Sheets and Docs to facilitate easier data transfer and manipulation. Oct 2023 Wider Language Support Bard expands its language and dialect offerings to cater to a broader user demographic. Dec 2023 Focus on Personalization and Accuracy Bard’s algorithms receive updates for better user experience personalization and enhanced accuracy in responses and information retrieval. Jan 2024 Export Functionality Bard integrates a new feature enabling users to export their query outcomes directly into Google Sheets for improved analysis and organization. On December 11, 2024, Google launched Gemini 2.0, an enhanced version of the AI model, alongside an experimental version of Flash 2.0 in Google AI Studio and the Vertex AI Gemini API. The NLP capabilities of Gemini enable it to comprehend and process language, including interpreting user queries and data. It is also capable of recognizing images, including charts and graphs, without reliance on external tools such as optical character recognition (OCR). Gemini can translate across numerous languages, making it beneficial for tasks in multiple languages. What distinguishes Gemini from its predecessor AI models at Google is its multimodal capability. This means it is trained to handle various data types, including text, images, audio, and video all simultaneously. Due to this, Gemini can reasondata types. For instance, it possesses the capability to evaluate handwritten documents, charts, and illustrations to address issues. The Gemini framework is equipped to process text, images, audio, and video in a combined order. General Google Bard Metrics Google Bard was officially introduced at the Google I/O gathering in 2023. According to Google, Bard consistently outperforms its rivals in a range of AI efficacy assessments. Bard has achieved an estimated 1 billion users, indicating that approximately 1 in every eight individuals globally may have utilized it. The application is not solely for fundamental search activities but also encompasses educational guides, personal narratives, ideation sessions, and even music composition. Users have remarked that Bard excels at engaging in fluid and captivating dialogues. The training dataset for Bard is 750 GB, comprising 137 billion parameters and 1.56 trillion words. Bard receives around 340 million visits each month, having had 30 million users in its inaugural month. On average, individuals spend approximately 30 minutes each day using Bard. According to Google Bard Metrics, Bard is accessible in 46 languages across over 238 nations. The majority of users are from the United States, constituting 22.9% of the overall traffic. Each query on Bard costs anywhere from $0.003 to $0.028. In 2023, Google Bard recorded an average of 142.4 million monthly users. When Bard was first introduced, 62.6% of those users were from the United States. The user demographic shows a distribution of 40% female and 60% male. Approximately 40% of Bard users actively search for topics of interest. Every query on Google Bard ranges from $0.006 to $0.031. The dataset known as Infiniset, which fuels Bard, consists of 1.56 trillion words. (Source: meetanshi.com) Half of the training data for Bard is derived from discussions on public platforms. The United States leads in traffic to Google Bard, accounting for 21.66% of all visits. Bard is accessible in more than 180 countries and regions. In May 2023, 380,567 devices contributed to all traffic directed to Bard. Google Bard officially debuted on February 8, 2023, and became public on March 21, 2023. The title “Bard” draws inspiration from Celtic storytellers renowned for their narrative prowess. Bard is founded on Google’s LaMDA model, which encompasses language models containing up to 137 billion parameters. LaMDA has been under development since 2017, indicating Bard is based on a project that has been in progress for 6 years. The data utilized to train Bard is 750 GB and consists of material from websites, books, and user-generated content, accumulating to 1.56 trillion words. Google Bard Metrics indicated that the platform is projected to reach 1 billion users, equating to roughly 1 out of 8 individuals globally. It is available in over 230 countries and regions and supports 43 languages. The gender ratio of users is 60% male and 40% female. The United States accounts for 37.24% of total traffic, followed closely by India with 9.56%. Google Bard Traffic Metrics The United States generates the highest traffic for Google Bard, contributing 21.6% of the total. India ranks as the second-largest traffic source with 8.34%, followed by Brazil at 3.98% and Mexico at 3.47%. Below is a table displaying the leading countries by Google Bard traffic as of 2023: Leading Countries Proportion of Google Bard Traffic Colombia 3.31% Mexico 3.47% Brazil 3.98% India 8.34% The United States 21.6% Others 59.24% In the United States, 90.74% of Google Bard traffic is generated through mobile devices, whereas 9.26% is from desktops, according to Semrush data. In the United Kingdom, every single visit (100%) to Google Bard comes from desktop devices. Below is a table illustrating Google Bard traffic by devices across different nations: (Reference: answeriq.com) Nation Mobile Usage Desktop Usage Australia 0% 100% Canada 0% 100% Ireland 100% 0% The United Kingdom 0% 100% The United States 90.74% 9.24% In the United States, 365.9K devices were utilized to access Google Bard, as it represents the largest market for the platform, resulting in the highest number of devices generating traffic. Following that, the United Kingdom used 3.8K devices to access Google Bard, with Ireland closely trailing at 3.1K devices. Below is a table showing the number of devices from various nations that accessed Google Bard: Leading Countries Devices generating traffic to Google Bard Australia 1.5K Canada 1.9K Ireland 3.1K The United Kingdom 3.8K The United States 365.9K In May 2023, there were a total of 380,567 devices that visited Google Bard. Of these, 336,322 were mobile devices, while 44,245 comprised desktops, according to Semrush data. Here’s a table detailing the monthly distribution of the devices that provided traffic to Google Bard: Month Total```html Devices Mobile Devices Desktop Devices May 2023 380,567 336,322 44,245 April 2023 154,077 95,049 59,028 March 2023 95,564 37,156 58,408 Users visiting Google Bard explore an average of 5.54 pages per session. As per Similar Web, individuals generally examine 2.65 pages and dedicate approximately 4 minutes and 32 seconds on the platform. The research further indicates that Google Bard maintains a bounce rate of 29.97%. Additionally, 88.4% of the traffic to Google Bard originates from mobile devices, while the remaining 11.6% is from desktop devices, according to Semrush analytics. Goggle Bard Projected Expenses The projected expense for a query on Google Bard stands at approximately $0.003 per request. Moreover, there’s an extra fee ranging from $0.003 to $0.028, based on the inquiry type. Therefore, the overall cost for each Bard search falls between $0.006 and $0.031. These figures are merely estimates, and the real cost for each Bard search might differ. This variation depends on elements such as the complexity of the question, the length of the answer, and the computational resources Bard requires to handle the request. Nonetheless, the estimated costs demonstrate that the introduction of Bard has significantly boosted expenses for Google. Per Morgan Stanley, Google will need to allocate $1.2 billion for every 10% of inquiries that receive AI-generated answers comprising 50 words or more. (Source: 9to5google.com) Below is a table illustrating the expenditures related to generating responses from Google Bard across various word counts. % of Google queries addressed by AI 25 words produced each query 50 words produced each query 75 words produced each query 100 words produced each query 50% $3 billion $6 billion $9 billion $12 billion 40% $2.4 billion $ 4.8 billion $7.2 billion $9.6 billion 30% $1.8 billion $3.6 billion $5.4 billion $7.2 billion 20% $1.2 billion $2.4 billion $3.6 billion 4.8 billion 10% $0.6 billion $1.2 billion $1.8 billion $2.4 billion Bard Training Dataset Statistics (Reference: scoop.market.us) The training dataset for Google Bard is derived from a range of diverse origins, each contributing a specific percentage. The most substantial portion, 50%, is sourced from dialogue data gathered from online forums, which aids Bard in grasping natural conversational patterns. A notable fraction, 12.5%, originates from C-4 data, providing a rich variety of text for training the model. Statistics from Google Bard indicate that an additional 12.5% is sourced from the English Wikipedia, a reliable information repository. Documents pertaining to coding constitute 12.5%, emphasizing technical and programming content. Lastly, 6.3% of the data is compiled from web documents in both English and other languages, offering Bard a blend of language-specific and multilingual material. User Statistics and Demographics for Google Bard Gemini is accessible in over 230 nations and territories globally. It accommodates more than 40 languages, including prominent ones like Spanish, Hindi, English, and Japanese, making it available to a wide audience. Gemini is not accessible to individuals under 18 years, except in regions with a minimum age requirement of 13. Google has also introduced additional safety measures, such as a video introduction and a verification option for responses, to safeguard users. Examining the demographic composition of Gemini users, 60.14% are male, while 39.86% are female. The platform sees significant popularity among users aged 25-34, with the second-largest demographic being individuals aged 18-24. It tends to attract a younger audience. (Source: grabon.in) Age Category Percentage of Users Over 65 years 3.88% 55 to 64 years 6.58% 45 to 54 years 12.30% 35 to 44 years 19.33% 25 to 34 years 33.22% 18 to 24 years 24.69% Findings from 2023 suggest that 40% of Gemini users engage with the platform to discover more about their interests. Furthermore, individuals utilize Gemini for purposes like creativity, productivity, and enjoyment. (Source: grabon.in) Reasons for Using Google Bard Percentage of Users Entertainment 10% Creativity ``````html 30% Effectiveness 20% Investigation 40% Upon the launch of Google Bard, it was accessible free of charge to all users. After its transformation into Gemini, it continued to remain free due to its utilization of the Gemini 1.5 Pro model. Nevertheless, to access the Gemini 1.5 Ultra model, enrollment in the Gemini Advanced plan is required, costing ₹1950 each month. The Advanced plan includes bonus features such as linkage to Gmail, Docs, and other Google applications. External Links From Bard.google.com (Cited: scoop.market.us) google.com encompasses a variety of external links across diverse categories, demonstrating its ties to multiple online resources. A significant 49.11% of these links direct to Programming and Developer Software, highlighting the platform’s emphasis on technical material. The categories of Computers, Electronics, and Technology constitute 31.06% of the external links, underscoring Bard’s relation to tech-centric content. According to Google Bard Statistics, Search Engines represent 8.31% of the links, signifying connections to external search utilities or outcomes. Links related to email account for 7.53%, indicating engagements with email platforms. Google Bard vs. ChatGPT Data Google Bard and ChatGPT exhibit varying degrees of user involvement. The average session for Google Bard lasts 3.19 minutes, while ChatGPT’s sessions are longer at 8.44 minutes on average. The cut-off dates for their data also differ. Google Bard’s data ends in 2019, whereas ChatGPT’s extends to 2021. In terms of pricing, Google Bard charges between $0.003 and $0.028 per query. Conversely, ChatGPT has a standard charge of $0.0036 per query. Regarding subscriptions, Google Bard is freely available for use. ChatGPT provides a complimentary plan alongside a paid Plus plan at $20 monthly, which grants users additional features. As for training data, ChatGPT is trained on 300 billion words, while Google Bard utilizes a larger dataset amounting to 1.56 trillion words. This extensive training enhances the language comprehension of both platforms. (Cited: cyberhaven.com) ChatGPT operates with 176 billion parameters, whereas Google Bard employs 138 billion parameters. These elements aid in enhancing the models' ability to comprehend and process language efficiently. In terms of storage requirements, ChatGPT needs 570 GB, while Google Bard demands slightly more at 750 GB. Google Bard Visits Statistics During the summer of 2023, specifically in June, July, and August, the two platforms, bard.google.com and bardai.io, witnessed varying degrees of site traffic. Google.com, the larger platform, experienced considerable user engagement, with 140.6 million visits in June, 189.2 million in July, and 183.5 million in August. In contrast, bardai.io, which is more niche-focused, had significantly lower visitor counts. It recorded 160.7 thousand visits in June, 104.5 thousand in July, and 96.3 thousand in August. These statistics illustrate the fluctuations in traffic across both platforms during the summer period. The most popular search term, simply “bard,” saw 2.4 million searches, indicating substantial interest. “Google Bard” was the next most searched phrase, attracting 2.1 million searches, reflecting a specific interest in this AI chatbot. (Cited: answeriq.com) “Bard AI” received 751,000 searches, while “Bard Google” garnered 483.9 thousand searches, revealing curiosity regarding AI associated with Google. “Google Bard AI” resulted in 127.9 thousand searches, indicating a more focused interest. Other related queries amounted to 8.5 thousand searches. These search trends depict a clear understanding of the level of interest in Bard and connected subjects. Generative AI Employment Adoption Rate in the US 2023 (Cited: statista.com) A survey conducted in 2023 among professionals in the US revealed that 37% of individuals in advertising or marketing have employed artificial intelligence (AI) in their professional tasks. Conversely, the healthcare sector exhibited the least usage, with only 15% of employees utilizing AI technologies. The heightened presence of AI in marketing and advertising is logical, as these areas frequently merge creativity and artistic expression in their functions. Google Bard Statistics noted that generative AI and educational roles that necessitate advanced learning are at a higher likelihood of being automated by generative AI in the US. This phenomenon arises because positions requiring minimal education are primarily manual and do not rely on digital skills. Nevertheless, jobs necessitating university degrees or higher are still less inclined to be supplanted by AI, despite the increasing prevalence of generative AI. ChatGPT’s Rivals Although ChatGPT, developed by OpenAI, stands as the most renowned and sophisticated AI language model, other contenders are nearing comparable capabilities. Over half of survey participants in the US have either interacted with or recognized ChatGPT, while almost half are familiar with or have engaged with Bing Chat. Google’s Bard trails marginally behind, with roughly a third of Americans acknowledging it. Involvement of Social Media Platforms (Cited: scoop.market.us) Google Bard Statistics indicated that Google Bard draws traffic from several social media networks, with YouTube being the most significant contributor, accounting for 52.19% of total visits. Twitter ranks second, directing 14.16% of users to Bard. Facebook and WhatsApp also contribute significantly to the traffic, comprising 8.82% and 8.58%, respectively. LinkedIn provides 5.61% of the traffic from its professional network. Other social media platforms combined satisfy 10.64% of the traffic, highlighting the multitude of avenues through which users discover and utilize Bard. What was the Training Process for Google Bard? Google Bard leverages Google’s internal directory to address user inquiries. It underwent training with a data set referred to as the Infinite Dataset Composition. While the name may appear complex, it essentially pertains to an extensive compilation of text and code utilized to train the system. This data is sourced from a variety of mediums, including discussions, forum posts, and C4-based information. The table below provides a detailed overview of the training data harnessed by Google Bard: Category of Training Dataset Utilized Overall Share of the Dataset in Training the Platform Non-English Web Documents 6.3% English Web Documents 6.3% Code Documentation 12.5% English Wikipedia 12.5% C4-based Information 12.5% ```Dialogue Records from Forum 50% Google Bard Technology Statistics To assess whether Google Gemini surpasses ChatGPT, we will examine criteria such as training data, context window, and performance ratings. Google Gemini Training Data: The previous iteration of Google Bard, which utilized the LaMDA model, was trained on a substantial dataset known as the Infinite dataset. This dataset consists of 1.56 trillion words and 137 billion parameters, occupying 750 GB of storage and comprising: 5% data derived from C4. 5% code from programming guides, Q&A sites, etc. 5% English web documents. 5% documents in other languages. Gemini 1.5 Pro features an extensive context window of up to two million tokens, making it the longest available in any large-scale model. Both Gemini 1.5 Pro and 1.5 Flash provide a standard context window of one million tokens, which facilitates the processing of lengthy documents, code, audio, video, and more. Developers and companies can apply to obtain access to the two-million-token window available in Gemini 1.5 Pro. In the quality index rankings, GPT-4 holds the top position with a score of 100, while Gemini 1.5 Pro achieves a score of 88. The quality index assesses the overall performance of language models, with higher scores reflecting superior outcomes. Model Quality Index Llama 3 (8B) 65 GPT-3.5 Turbo 65 Claude 3 Haiku 72 Gemini 1.5 Flash 76 Llama 3 (70B) 88 Gemini 1.5 Pro 88 Claude 3 Opus 94 GPT-4.0 Turbo 94 GPT-4.0 100 Training Data: Gemini 1.5 Pro employs a vast dataset akin to GPT-4, though with a distinct combination of sources. Context Window: Gemini 1.5 Pro provides a larger context window (up to two million tokens), which is advantageous for managing intricate inquiries and lengthy documents. Benchmark Performance: While Gemini 1.5 Pro is robust, GPT-4 retains a superior quality score of 100, whereas Gemini registers a score of 88. In conclusion, Google Gemini boasts impressive attributes, such as its capability to manage extensive contexts; however, GPT-4 displays superior performance overall, as evidenced by its elevated quality index score. When comparing Google Gemini with GPT-4, GPT-4 achieves a higher performance score of 100, while Gemini 1.5 Pro attains 88, showcasing its commendable performance as well. Regarding speed, Gemini 1.5 Flash is the quickest, processing 141 tokens per second. Following closely is Llama 3 (8B), handling 121 tokens per second, while Claude 3 Haiku processes 101 tokens per second. Model Tokens per second GPT-4 Turbo 23 Claude 3 Opus 29 Llama 3 (70B) 41 GPT-3.5 Turbo 52 Gemini 1.5 Pro 55 GPT-4.0 74 Claude 3 Haiku 101 Llama Flash 121 Gemini 1.5 Flash 141 GPT-4 processes 75 tokens each second, while Gemini 1.6 Pro handles 55 tokens per second, and GPT-3.5 Turbo manages 56 tokens per second. Among all Gemini variants, version 1.5 Pro achieves the highest performance, followed by the Gemini 1.0 Ultra. Google DeepMind evaluated these models across several dimensions: General efficacy Code generation Mathematical problem solving Reasoning (utilizing assessments like GPQA and Big-Bench Hard) Multilingual capabilities Image comprehension Mathematical reasoning Audio and video identification In terms of overall efficacy, Gemini 1.5 Pro attained the highest score at 85.9%, whereas Gemini 1.0 Pro recorded the lowest at 71.8%. For reasoning assessments (evaluated via Big-Bench Hard), Gemini 1.5 Pro also excelled, with a score of 89.2%, while Gemini 1.0 Pro achieved 75.0%. In multilingual evaluations (assessed by WMT23), Gemini 1.5 Pro was the leading model with a score of 75.3%, compared to Gemini 1.0 Pro’s score of merely 71.7%. In audio recognition tests (assessed by FLEURS), Gemini 1.5 Flash yielded the highest score at 9.8%, whereas Gemini 1.0 Pro had the lowest score at 6.4%. For reasoning skills (evaluated by GQPA), Gemini 1.5 Pro posted the best score at 46.2%, while Gemini 1.0 Pro had a score of 27.9%. When tackling mathematical challenges, Gemini 1.5 Pro was the top performer with a score of 67.7%, whereas Gemini 1.0 Pro scored 32.6%. Essential Google Bard Statistics As of August 2023, Google Bard is accessible in over 230 nations and territories. By July 2023, Google Bard supports more than 40 languages, including Arabic, Chinese, German, Hindi, and Spanish. From April to May 2023, the traffic to Google Bard surged by 187.2%, reaching 142.6 million visits. On February 8, 2023, Alphabet Inc. incurred a loss of $100 billion after a promotional video of Google Bard on Twitter displayed the chatbot providing incorrect information regarding the James Webb Telescope. Alphabet Inc. invested 8 years in the development of the technology behind Google Bard. In 2023, Google’s expenses could rise by $6 billion if AI chatbots are incorporated into search. Half of the training data for Google Bard originates from public forums. 25% of Bard’s data stems from English websites, while an additional 6.25% comes from non-English sites. 40% of users indicate they utilize Bard to delve into their interests. 30% engage it for creative endeavors such as writing poetry, scripts, and narratives. Statistics revealed by Google Bard indicate that nearly 20% of users employ it for professional or educational purposes. 10% utilize Bard for leisure activities, including gaming or searching for videos and music. Approximately 80,000 employees participated in the testing of Bard. Upon its launch in March 2023, Bard recorded 30 million monthly users. Active participants. The majority of Bard users are located in the US (62.6%), followed by the UK (8.29%) and China (3.22%). Bard’s training corpus encompasses 1.56 trillion words and 137 billion parameters. Google anticipates Bard will achieve 1 billion users globally. It is projected that Alphabet Inc. will incur an additional expense of $0.003 to $0.028 per query, in addition to the standard search cost of approximately $0.003. Google Bard was launched in February 2023 and became publicly accessible in March 2023. As of June 2023, the average duration spent on Bard was 3.19 minutes per visit. Bard recorded an accuracy rate of 63% in March 2023. The largest portion of Bard’s traffic is generated from direct visits, contributing to 67.7%. Bard is capable of managing roughly 1,000 queries each hour. Google Bard can produce code in over 20 programming languages. Individuals aged 25–35 (Millennials) represent 35% of Bard’s user demographic. Bard exhibits a bounce rate of 55.10%. Google CEO Sundar Pichai encouraged staff to utilize Bard for 2 to 4 hours daily during its testing phase. Google Bard Statistics indicated that 750GB of textual data was utilized to train Bard’s language model. Conclusion To sum up, examining Google Bard Statistics provides valuable insights into the platform's performance and its influence on the digital landscape. With a significant number of internet users around the globe engaging with Google Bard, it is evident that the platform is becoming a crucial element of online search. The information reveals that its user demographic is expanding across various groups and regions, indicating that Bard enjoys popularity in multiple languages and areas. While the platform boasts advanced functionalities such as natural language comprehension and personalized search results, it also faces challenges, including occasional inaccuracies in responses and concerns related to privacy. With ongoing enhancements and updates driven by user feedback, Google Bard is poised to remain a preferred option for individuals seeking a straightforward and effective search experience. For enterprises, understanding Google Bard’s statistics is vital to engage with its extensive user base and capitalize on emerging trends in online search behaviors. What is the market share of Bard? Bard AI possesses a 0.01% share of the data science and machine learning sector, competing against 138 other tools in this domain. Google Bard vs ChatGPT: Which One is Superior for Businesses? When contrasting Google Bard and ChatGPT, ChatGPT emerges as the more favored option. As of May 2023, ChatGPT boasts approximately 180.5 million users, while Google Bard has close to 146.6 million users. For businesses, ChatGPT is well-regarded for its sophisticated conversational capabilities and compatibility with various business tools. Conversely, Google Bard may be a more suitable choice for companies already utilizing Google products, as it integrates seamlessly within the Google ecosystem. Both AI solutions are compelling alternatives, yet the ideal choice hinges on the specific requirements of your business. Who are Bard’s adversaries? Microsoft Bing AI serves as another alternative to Google Bard. Microsoft has integrated AI functionalities into its search engine utilizing OpenAI’s large language model. It represents a formidable competitor to Google Bard, featuring more robust capabilities than GPT 3.5 and ChatGPT. What has supplanted Google Bard? Google has undergone a significant transition by rebranding Bard to Gemini, thereby initiating a new chapter for its AI services and user engagement. Joseph D'Souza Joseph D'Souza founded Coolest Gadgets in 2005 to express his passion for tech gadgets. It has grown into a well-known tech blog, recognized for comprehensive gadget reviews and company statistics. Joseph is devoted to delivering clear, thoroughly-researched content, making technology accessible to everyone. Coolest Gadgets is a dependable source for technology news, favored by both fans and novices alike. More Articles By Joseph D'Souza [ad_2] This page was generated automatically; to read the article in its original form, please visit the link below: https://www.coolest-gadgets.com/google-bard-statistics/and if you wish to have this article removed from our site, kindly contact us.