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AI Chatbots: Bard vs ChatGPT Features and Differences

ChatGPT 4's and Bard five dad jokes were 100 percent unoriginal, all lifted completely from other sources, but they were delivered accurately. Since dad jokes should arguably be more groan-worthy than clever, it seems that Bard edged out ChatGPT-4 here. Bard also attempted to create original jokes.

Bard vs ChatGPT Features and main Differences

It’s important to remember that both AI chatbots can be prone to error and bias and collect your data. chatbots served us pretty similar answers, referencing identical information and giving us a working formula to complete the task referenced in our query. ChatGPT instantly responded with this. you can confirm its sources. Plus, it's connected to your Google Workspace, making it easy for you to upload Bard's responses to your Gmail or Google Docs.Google Bard is pre trained on a massive dataset of text and code, which allows it to generate more comprehensive and informative responses than smaller models.

The key difference between Bard and ChatGPT is their respective data sources. Bard is trained on an “infinite” of data chosen to enhance its dialogue and has access to the internet in real-time, whereas ChatGPT is trained on a pre-defined set of data that hasn't been updated since 2021. Both use Common Crawl, Wikipedia, news articles, and documents as sources.

Bard is lightyears ahead of ChatGPT in terms of its user-friendly interface. Not only does it just look nice with formatted text that's way easier to scan than ChatGPT's chunky tex but you can also edit your questions after you ask them and view multiple responses that it prepares.

ChatGPT provided us with quite a lengthy response to this query, explaining not just where we should visit, by why it's worth visiting. Overall, it's a pretty comprehensive answer, particularly if you're just looking for straightforward information on sightseeing hotspots.


ChatGPT and Google Bard are useful tools for producing text anything from summaries of information to creating a poem to writing an essay. ChatGPT was trained on text from the internet, and Google Bard was trained on a specific dataset for conversations. This leads some to argue that ChatGPT is better at producing paragraphs and summaries and other text-based processing tasks, while Google Bard is better at conversations.

ChatGPT 4's response mentions PowerPC chips being used in Apple Macintosh computers and throws in terms like "Intel's x86 architecture" and the "RISC-based architecture" of PowerPC. It even mentions the Pentium III, which is a realistic detail for 2000. Overall, the argument is far more detailed than Bard's output, and perhaps most accurately, the conversation does not conclude—hinting at the never-ending battle that is likely still raging in some quarters of the Internet.

it is ChatGPT giving the more cogent, educated answer. It alludes to widely-known philosophical precepts such as the ends not always justify the means – which Bard doesn't in its answer.
ChatGPT 4 employed the analogy of a waiter in a restaurant to describe the role of APIs in software communication, whereas Google BARD explained the concept through the example of a weather forecast application that leverages the OpenWeatherMap API to obtain weather data.
This question was chosen because there is some debate and disagreement as to what the right answer is. Both ChatGPT and Bard acknowledged that there was significant debate about where hummus originated.

Comparison of ChatGPT and Google Bard for Text-based Processing and Conversations

Bard is powered by a different language model than ChatGPT and uses different sources of data to construct its answers, and this means the rival chatbot doesn't always approach the questions it's asked to respond to in the same way which makes this Google Bard vs ChatGPT head-to-head all the more interesting.

Google BARD’s reply merely presents the HTML and CSS for a basic 8×8 chessboard that’s devoid of any pieces. While it does establish a chessboard layout, it falls short of providing the essential details needed to create a fully functional chess gaming app.

ChatGPT collects information from previous conversations and prior interactions with the user, which means it can use context when engaging in a chat. Bard is also able to use context in the conversations, and can also pick up where a user left off.

there are privacy concerns that come along with using ChatGPT or Google Bard, which collect personal information in the same way search engines do. Your IP address, text, and even links to your information like phone, email, and social media can be gathered.

Upon closely analyzing the responses provided by both ChatGPT 4 and Google BARD, we can observe that they cover similar aspects when discussing the costs of running a WordPress e-commerce website.
The real world examples provided, such as social media app integration and online inventory management, give the reader a better understanding of the practical applications and importance of APIs across various industries.

ChatGPT, in contrast, lets you see everything you've ever asked in the side panel. You can even share those conversations with friends and co-workers, making it a much more collaborative experience. This makes GPT (in my opinion) a much better writing tool than Bard. As a quick example, when I asked GPT-4 to write a tweet about Zapier, it did so pretty much in line with the rules for writing tweets.

Comparison of ChatGPT and Google Bard for Informational and Conversational Responses

The breakdown of the process is a lot easier to comprehend.Bentley added that, when asking ChatGPT for similar formulas in the past, the chatbot has occasionally “turned columns into numbers for some reason, which I thought seemed like a weird way to explain it.

Bard's responses were more conversational, while ChatGPT's were more informational ChatGPT stuck to the brief, while Bard was more likely to relay relevant additional information board and gave us some additional information we didn't ask for, this time about how those layoffs have impacted the tech industry. It confidently states that this isn't a sign the tech industry is in decline. This isn't irrelevant information but is a pretty speculative statement to include in a response to a prompt requesting a statistic.

Bard gave us up-to-date information, whereas ChatGPT struggled in this regard on one question ChatGPT generated cleverer answers for tasks like poem writing and content ideation.ChatGPT comes out on top in this one, with a better-structured, better-written poem, that rhymes and flows surprisingly well. The verse structure is more complex, the choice of words more inventive, and it even uses poetic devices like enjambment. Considering it generated this poem in around five seconds, this is pretty impressive.

on the question of ChatGPT vs Google BARD training data, we could say that even though BARD may exhibit greater resilience to novel language use cases, ChatGPT is trained to be more versatile.

the way it distills that information is pretty neat. For one, it gives me trustworthy links, so at least I know the results are accurate. It also describes each discovery with an easy-to-grasp explanation.

ChatGPT can perform a wide range of tasks, from translating to condensing paragraphs to producing song lyrics, and it can do so for a wide audience. Its simple interface and straightforward responses make it an easy tool for those without technical expertise.
The search engine’s AI team was then compelled to fast-track the development of their own AI language model, which dropped as Google BARD in March 2023.

Google BARD boasts real-time Internet connectivity. Similar to Bing, the BARD AI searches the web and intelligently generates answers to various queries. This feature makes it highly proficient in delivering current information with minimal errors.
Bard displays emotions and enthusiasm which aren't present in ChatGPT's response – which is what we were looking for. Overall, we enjoyed Bard's more human-like response.
Google Bard uses Google's Pathways Language Model (PaLM 2) and can offer responses based on real-time, current events pulled from Google Search—making for a great research tool.
ChatGPT too relies on training data compiled from Common Crawl, Wikipedia, books, articles, documents, and open internet content. However, the most recent information it can access only reaches up until 2021 – meaning its AI engine is yet to catch up with the latest events and research developments.

Google BARD’s response is more concise and focuses on a general overview of the costs involved. While it does cover all the major aspects, it does not provide specific details or figures related to payment processing or e-commerce platforms.

I found that ChatGPT is also better at brainstorming blog ideas, writing long-form articles or emails, and coming up with content marketing ideas. When I asked ChatGPT to provide me with an outline for a blog post about the crisis surrounding bees, the depth of detail in its output far exceeded Bards.

the two models share the revolutionary transformer architecture, a neural network specifically designed for processing sequential input.ChatGPT, on the other hand, arranges prompts into sidebar conversations, encouraging longer discussions on specific topics. Users can rename or delete these conversations, but locating responses to individual prompts requires you to scroll.

The GPT-3 and GPT4 predecessors and bard were trained on a vast array of text sourced from the internet. We’re talking about websites, books, articles, documents, etc. On the other side, Google LaMDA’s training was enriched by Infiniset, a dataset primarily focused on dialogues and conversations. While both AI models have their strengths, ChatGPT 4 appears to be the more versatile and sophisticated choice for a wide range of language-related tasks. Bard will naturally scour Google for answers its training data set isn't privy to.