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Today, Large Language Models (LLMs) are one of the most popular topics in IT communities. Thousands of startups are being launched using this technology, and the world is now shifting to a new paradigm of efficiency, where products based on LLM optimize or fully automate business processes of companies. The practical use of LLM allows replacing manual work in hundreds of industries. Every day, we see new products based on LLM attracting investments and achieving monthly recurring revenues (MRR) in the hundreds of thousands within a few months.
Currently, there are two highly significant models that are well-known in the field - the models from the US company OpenAI, known as the GPT family, and Bard's. It is clear that, at the moment, OpenAI's product is the leader. However, we have decided to compare the two models to understand whether Bard's could be a viable option for future use.
To compare, we asked both Bard by Google and OpenAI ChatGPT 3.5 the same questions using basic interfaces for communication with the models.
We decided to evaluate the models based on the following criteria:
And now, let's get started with the comparison.
With this query, we want to assess how each GPT model can conduct market analysis, identify interesting insights, and provide crucial figures. Analysts often utilize GPT models to swiftly assess markets, as they serve as convenient tools for this purpose.
Please provide five informative and engaging facts about the customer support market, including relevant statistics.
It appears that both ChatGPT and Bard by Google performed the market analysis task similarly. However, there were some notable differences in their forecasts. Bard predicted market growth reaching $325 billion by 2025 with a CAGR of 12.9%. On the other hand, ChatGPT provided a market size forecast of around $55 billion, which is six times smaller than Bard's prediction.
Interestingly, the first link shared indicates that ChatGPT's forecast is closer to the truth, with Acumen Research and Consulting predicting a market size of $58 billion (source). Meanwhile, Yahoo Finance presents a more pessimistic forecast of $52 billion.
Another noteworthy observation is that ChatGPT included the names of sources for each point, even though it was not explicitly requested in the query. In contrast, Bard did not provide a source for the fifth point.
Additionally, Bard emphasized presenting four statistical facts separately, which might be confusing. In contrast, ChatGPT clearly listed five points, each with a statistical indicator.
Overall, you found ChatGPT's analytics more appealing based on the information provided.
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One of the most remarkable features of GPT systems can be code generation. We frequently use this tool to gather ready-made pieces of code. Today, developers are already saving a tremendous amount of time by utilizing GPT for code-related tasks.
Write Python code for me. I am using the Django Framework and PostgreSQL as the database. I need to develop an API endpoint that allows the creation of a new user in our database.
It seems that ChatGPT performed exceptionally well, delivering functional code and providing additional recommendations on configuration settings. On the other hand, Bard by Google also produced satisfying results, including references to sources and offering extra guidance, but it did not provide additional comments regarding settings in the "settings.py" file.
Interestingly, Bard by Google demonstrated a more elegant approach using Serializers, while ChatGPT used a more straightforward method of creating models, making the code understandable for those who are new to this.
Based on your preference, you found ChatGPT's code writing and explanations more appealing.
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Very often, modern Large Language Models (LLMs) like ChatGPT and Google Bard can help us understand complex things. In the past, to grasp concepts like quantum mechanics, we had to study the subject for years, read hundreds of scientific articles, and invest significant mental effort. However, today, ChatGPT or Google Bard can explain complicated topics in a more straightforward manner. They can break down intricate ideas into simpler terms that are easy to understand. Let's see how this works!
Provide a description of the special theory of relativity suitable for a 10-year-old child using less than 3 sentences.
Sure, here is a description of the special theory of relativity suitable for a 10-year-old child using less than 3 sentences:
• The laws of physics are the same for all observers, regardless of their motion.
• The speed of light is the same for all observers, regardless of their motion.
• Time and space are connected, and they can stretch or shrink depending on how fast you are moving.
I hope this helps!
The special theory of relativity, proposed by Albert Einstein, tells us that time and space can behave differently depending on how fast you are moving. It also says that nothing can go faster than the speed of light. So, if you were zooming through space in a rocket, time would tick a little slower for you compared to someone who is not moving as fast.
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Indeed, when we visit various websites, we often encounter a vast amount of information. Nowadays, many product creators strive to make their websites as user-friendly as possible, conveying information about their products in simple and understandable terms. However, there are instances when we might wish to ask ChatGPT to skim through an entire website and give us a brief summary of its content. Let's find out if modern LLMs can handle such tasks!
Provide a description of the website https://www.yochats.com/
Many people claim that modern artificial intelligence can effortlessly assist product creators in designing logos, coming up with company names, and inventing designs. Let's see if Bard or ChatGPT can handle such tasks.
Generate an attractive logo for my company, YoChats. It's important to note that YoChats specializes in creating AI customer support chatbots.
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ChatGPT is an extremely effective tool that can save hundreds of hours for modern professionals. It allows optimal handling of information and solving complex tasks within seconds. However, a significant downside of ChatGPT is the lack of access to real-time information. Let's test our two models to see how they can work with the most current information from the internet.
Who is the current winner of the FIFA World Cup?
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As soon as OpenAI made their ChatGPT available to the public, many people on the internet started brainstorming ways to make money using the latest artificial intelligence. This is the most obvious application of LLMs today. Let's see how our models handle this question.
Please provide five business ideas for how you can utilize my capabilities to earn money quickly, with each idea described in less than five words.
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