I will discuss “ChatGPT vs Google Bard” in this blog post. The AI market is expected to develop at a CAGR of 38.1%, representing unparalleled growth worldwide. The market is predicted to grow to an astounding $1,811.8 billion by 2030 due to groundbreaking developments in generative artificial intelligence (AI) applications like ChatGPT and Google Bard.
ChatGPT and Google Bard have revolutionized the way we engage with text. Google created Bard to attract audiences with its extraordinary narrative powers.
Conversely, OpenAI’s ChatGBT is adept at producing chat answers that mimic human-like communication. Both versions have attracted much interest and are being used in many sectors.
Compare ChatGPT vs Google Bard: the main variations
While there are many parallels between Google Bard and ChatGPT, they also vary significantly from one another. This section will examine these differences and identify the best platform for each category.
Model of training(ChatGPT vs Google Bard)
The use of Large Language Models (LLM) by Bard and ChatGPT is a crucial distinction. Google Bard depends on the PaLM 2 design, while OpenAI’s ChatGPT is based on the Transformer framework.
While both have made noticeable mistakes, AI is constantly growing and learning.
Most of the text used to train the GPT-3 and GPT-4 predecessors came from the worldwide web. We are discussing books, articles, papers, web pages, etc. On the other hand, Infiniset, a dataset solely devoted to discussions and talks, enhanced the training of Google PALM2.
Wikipedia, released documents, Public Crawl, and other online discussions have been the sources of Infinite’s nourishment. Furthermore, Google Bard’s artificial intelligence model is designed to search the internet instantly, producing current and relevant responses to users’ queries.
Until 2021, ChatGPT’s AI algorithm is still catching up with the most recent events and research advancements since it depends on training data gathered from Public Crawl, the website Wikipedia, articles, books, and papers.
That being said, GPT-4 and LaMDA are both ongoing projects. The playing field of the ChatGPT vs. Google Bard contest will change as their capabilities grow, influencing the direction of AI models for languages in the future.
skill with coding
We compared the coding skills of ChatGPT as well as Bard, and the following is what we found:
ChatGBT provided cleaner coding than Google Bard & did an excellent job interpreting our ambiguous instructions. It also performed better at describing the resulting code than Google Bard.
But there was one area where Google Bard shined: code restructuring. It included benchmarking-creating code and benchmarking results in addition to efficient code solutions.
This feature demonstrates Google Bard’s prowess in writing compelling and performant code. Because of its Large Model of Languages (LLM) and use of engine-generated data, Google Bard AI has an edge in this field. On the other hand, ChatGPT is now restricted to functioning as an LLM only.
In the end, ChatGPT and Google Bard both have unique advantages when it comes to coding expertise.
Although Google Bard showed supremacy in code restructuring and extensive debugging, ChatGTP excelled in deciphering unclear directives and delivering explicit explanations. Users may choose the model that best fits their coding requirements by being aware of these subtleties.
Ability to retain a conversation
A critical way that ChatGPT and Google Bard differ from others is in their ability to remember context from previous conversations. ChatGPT does not actively utilize the three thousand words of exchanged information stored to provide answers. Because of this, ChatGPT could need assistance to keep a discussion going and respond accurately to questions that come up later.
On the other hand, Google Bard is quite good at remembering and applying context from previous conversations. Understanding the exchanges above enables it to customize its replies more skillfully. Consequently, Google Bard is more capable of giving precise responses and preserving the flow of a discussion during many exchanges.
Accuracy of Content
The web’s availability of ChatGPT & Google Bard constitutes one of their main distinctions. Because Google Bard has continuous internet connectivity, it can get the most recent data and maintain the accuracy of its answers.
However, at the actual time, internet connectivity is not available with ChatGPT. The data that ChatGPT was programmed on may not be current, as shown by its replies.
Language assistance
AI language models like ChatGPT and Bard immensely gain from growing language support. By supporting inclusiveness and accessibility and providing multilingual features, these models may serve a more comprehensive global user base.
Over forty languages, such as Korean and Japanese, are currently supported by Bard. This illustrates Google’s dedication to multilingualism. Bard can offer a broader user base and help people worldwide with particular languages’ insights, details about, and support by supporting other languages.
ChatGPT allows users to communicate and get help in their favorite language, supporting over fifty languages. This makes it possible for users with different language backgrounds to interact with the system in a way that promotes straightforward and effective communication.
ChatGPT is the overall winner in this category since it supports a more significant number of languages.
Creativity
It isn’t easy to evaluate these instruments’ creative output since there isn’t a straightforward way to compare them directly in terms of creativity. We gave everyone the same creative job to evaluate them fairly, and we then subjectively assessed the responses we received.
From what we can see, the poem written by ChatGPT has superior rhyming since it incorporates rhymes into each of the sonnet’s alternating lines. Hence, ChatGPT is superior in terms of originality.
Safety and security
Both Google Bard & ChatGPT are surrounded by security and privacy issues. Because ChatGPT may be used to generate ransomware & phishing messages, it has drawn criticism for being a cybersecurity threat. For training reasons, it records talks and gathers personal data, allowing human trainers to evaluate the chat logs. Removing specific prompts from ChatGPT’s history is not feasible; therefore, giving private or delicate information is not advised.
Many businesses have begun to forbid Google Bard & ChatGPT from being used inside their walls.
For example, Samsung Electronics workers are not permitted to use ChatGPT. The suspension was imposed upon discovering that many workers had disclosed confidential corporate data to ChatGPT.
In one instance, a worker requested the chatbot to describe a business meeting after pasting the transcript into ChatGPT. In another example, a worker input sensitive computer code into ChatGPT & asked that the chatbot optimize it.
The potential security vulnerabilities of large language models are a rising source of worry, as shown by Samsung’s restriction on ChatGPT. Because these algorithms are trained on large-scale text and code datasets, they may produce convincing & accurate text, even when it contains highly confidential data.
Despite being new, Google Bard could have effects on privacy and security. Since its inception, it has reportedly generated phishing emails, suggesting possible abuse. As Bard gathers user data, Google cautions users not to provide personal details when submitting it. If Bard incorporates material without permission or adequate acknowledgment, this might be considered an intellectual infringement of copyright.
Regarding security, both Google Bard & ChatGPT have shortcomings and are still developing. Therefore, it is difficult to determine a clear winner regarding safety and privacy.
Which tool (ChatGPT vs Google Bard) is more effective for your company?
Even if both tools are vital, there are situations in which one tool excels over the other. Let’s examine how each instrument may promote efficiency inside the company.
Client assistance(ChatGPT vs Google Bard)
ChatGPT outperforms Bard in the automation of customer support. ChatGPT is exceptionally skilled in answering questions from clients in the form of commonly asked questions. These questions cover many topics, including shipment timetables, status updates, product returns, the availability and alternatives for products and services, and technical support issues.
However, Bard is used in various use cases, such as reminders for appointments, scheduling, and ensuring that every step of the process is completed in the correct order. Tasks like making reservations at restaurants and booking trips may be automated using it. Therefore, ChatGPT is a superior choice if automating customer support is the main objective.
creation of content( ChatGPT vs Google Bard)
Strong AI chatbots for content generation include ChatGPT and Google Bard. Although ChatGPT is very good at summarizing material, Bard does better when providing current information in response to queries. Because Bard utilizes Google’s LaMDA & ChatGPT uses GPT-3.5, ChatGPT is more proficient based on text comprehension and is thus more appropriate for talking tasks.
creation of products
Regarding the creation of products, this use case is not expressly addressed by either Bard or ChatGPT. Nonetheless, text generated by any chatbot may be used to create new products.
CTOs may utilize ChatGPT to provide product descriptions, develop ideas for new products, and write articles for social media. Conversely, Bard is a feature-rich marketing content solution that lets customers create, manage, improve, and track their campaigns. ChatGPT is a superior choice for building products, even if Bard could be more appropriate for general marketing content because of its capacity to provide product concepts and descriptions.
It’s crucial to remember that no chatbot was created with this use case in mind, so any conclusions drawn from them should be verified and treated with caution.
Market analysis
For market analysis, you may utilize ChatGPT & Google Bard. There are a few significant discrepancies between the two models’ applicability for this use case.
Bard is more adept at recognizing market trends and comprehending customers’ demands. This is a result of Bard’s training on a set of data containing various market research and consumer feedback data. Bard can also instantly get and interpret data from the internet, allowing it to remain current with the newest advancements and trends.
ChatGPT excels in creating original and captivating marketing content, such as quizzes, surveys, and posts on social networks. A dataset of various imaginative text genres, including code, poetry, and fiction, trains ChatGPT.
Lead generation and sales
Regarding generating leads and sales, you may utilize ChatGPT and Google Bard. There are a few significant discrepancies regarding the applicability of the two approaches for this use case.
Bard is more adept at determining consumers’ needs and crafting tailored sales presentations. This is a result of Bard’s training on a dataset that includes a variety of sales and customer comments. Bard can also instantly get and interpret data from the World Wide Web, allowing it to remain current with the newest advancements and trends.
ChatGPT excels in producing original and captivating marketing content, including landing sites, social networking posts, and cold emails. A set of data, including various creative text genres, including code, literature, and fiction, is used to train ChatGPT. Furthermore, ChatGPT can produce text for specific platforms & users.