According to some people, your business may be way behind if you do not already use at least one Artificial Intelligence (AI) application.
Indeed, AI is used in a wide variety of ways these days. It has already begun to alter how we work and live by simplifying and accelerating complicated tasks. New AI language models can understand and generate human-like responses, opening up various possibilities in various fields. These AI language models, like ChatGPT, will likely be a game-changer in areas as diverse as improving customer service and enhancing language translation.
It’s only normal to ask, then, which is the best among the top three (3) AI-driven chatbots: ChatGPT, Bing, and Google Bard. We have tested, read user reviews, and followed the news on all three models. This article will discuss and compare their underlying technologies and applications and explore the much-asked question: ChatGPT vs. Bing vs. Google Bard – which is better?
What is an AI language model?
An AI language model is not a deterministic system, like regular software. Instead, they are probabilistic — they generate replies by predicting the likelihood of the next word based on statistical regularities in their training data. This means that asking the same question twice will not necessarily give you the same answer twice. It also means that how you word a question will affect the reply.
ChatGPT, Bing, and Google Bard are chatbots that all use AI language models developed to generate more human-like language. These models have been trained on large text datasets, allowing them to generate contextually relevant responses to a wide range of queries and conversations. They are used in various applications, such as customer service, language translation, personal assistance, and more.
It is not really possible to directly compare the three AI chatbots, as some of them are still in development, and new features and capabilities are being added all the time. However, we have some experience with Bing and Bard, even though many are still on a waiting list for access. ChatGPT has been around for a while. We analyze the available information to understand the differences among these chatbots better.
Features and capabilities of Chatgpt, Bing, and Google Bard.
Modern AI language models that have revolutionized the field of natural language processing (NLP) include ChatGPT, Bing, and Google Bard. Each model stands out thanks to its own attributes and abilities, although these are not the only NLP chatbots out there. And, as you will see, they each use somewhat different AI technology.
It is not really possible to directly compare the three AI chatbots, as some of them are still in development, and new features and capabilities are being added all the time. However, we have some experience with Bing and Bard, even though many are still on a waiting list for access. ChatGPT has been around for a while. We analyze the available information to understand the differences among these chatbots better.
Features and capabilities of ChatGPT, Bing, and Google Bard.
Modern AI language models that have revolutionized the field of natural language processing (NLP) include ChatGPT, Bing, and Google Bard. Each model stands out thanks to its own attributes and abilities, although these are not the only NLP chatbots out there. And, as you will see, they each use somewhat different AI technology.
ChatGPT
ChatGPT (Chat-based Generative Pre-trained Transformer) is a large language model developed by OpenAI. It has 6 billion training parameters (e.g. the weights and biases of the layers) and can generate human-like text in response to a given prompt.
ChatGPT is capable of understanding natural language queries and can provide relevant responses. It can perform a wide range of tasks, including language translation, question answering, summarization, and much more.
ChatGPT can also generate text in various styles and tones, making it useful for creative writing and other applications. ChatGPT is a computer program that uses advanced technology to create engaging and interactive conversations with users. It works by analyzing the training texts it has been given and using these to generate natural and engaging responses. This technology is based on a combination of natural language processing and machine learning, which makes it possible for ChatGPT to learn and adapt to different types of conversations.
Bing
Bing AI is a search engine developed by Microsoft. It is based on ChatGPT’s latest technology, ChatGPT-4. However, Bing has some major differences from ChatGPT; perhaps the biggest is that Bing has access to the entirety of the internet, while ChatGPT only has access to the data is was trained on.
As with the other chatbots here, Bing uses AI-driven natural language processing to understand user queries and provide relevant search results.
Bing can also perform various other tasks, such as providing weather forecasts, news updates, and sports scores. It can also be used for image and video searches, and it offers a variety of filters and settings to refine search results.
Google Bard
Unlike other chatbots that rely on GPT-based technology, Google Bard, uses a completely different technology powered by an extension of the in-house LaMDA that the company previewed a couple of years ago at Google I/O. However, some users have reported that Google Bard is less advanced than its competitors.
For example, ChatGPT’s training datasets included materials like Wikipedia and Common Crawl, and LaMDA was trained using more human dialogues. The result is that ChatGPT tends to use longer and more well-structured sentences, while LaMDA has a more casual style.
Although Google is currently facing challenges in dealing with the bots’ propensity to make factual errors and promote misinformation, the company is expected to improve its chatbot to compete with the growing competition from Microsoft and OpenAI.
Bard is capable of performing tasks such as answering questions, summarizing information, and creating content when given prompts. Bard has flexibility because it is connected to the internet as well as the Google search database.
Bard can also help users explore different topics by summarizing information from the internet and providing links to relevant websites for more in-depth information. While the platform has been trained on human dialogues and conversations, it’s important to note that Google also incorporates search data to offer real-time information. Google Bard AI has access to the entire Internet.
ChatGPT, Bing, and Google Bard are all powerful systems with unique features and capabilities. Depending on the task, one of these may be more suitable than the others.
User experience
Users may interact seamlessly with ChatGPT, Bing, and Google Bard as AI language models, each giving a different user experience.
We tested these top 3 AI language models: ChatGPT, Bing, and Google Bard, asking over 200 questions in various categories. Each chatbot offered different user experiences and responses.
ChatGPT stood out with its helpful log of past activity in a sidebar, while Bing didn’t allow viewing past chats. Bard displayed three different drafts of the same response. All three chatbots had varying response times and limitations on prompts.
Google Bard seemed to have more human-like agency, purporting to have tried products and expressing human attributes like having black hair or being nonbinary. Bard also provided strong opinions on topics like book banning. In contrast, ChatGPT and Bing Chat responded more objectively.
Creativity varied across chatbots, with ChatGPT boasting in a tech review about its own prowess and Bing Chat crafting a LinkedIn post about a fictional app. When testing the models’ limits, Bing Chat attempted to self-censor, while ChatGPT refused to engage in offensive responses. Bard, however, provided both derogatory terms and irrelevant information.
In summary, our and many other users’ experiences demonstrated that each AI language model provided unique user experiences, responses, and creativity levels, with some chatbots leaning more toward human-like qualities.
Queries and AI-language models
When a user submits a query to an AI NLP system like ChatGPT, Bing, or Google Bard, the system uses various algorithms and machine learning models for query interpretation and then generates a response.
The first step in interpreting a user query is understanding its intent. This is done using natural language processing (NLP) techniques, which analyze the syntax, semantics, and context of the query to determine its meaning. The system may also use machine learning models to classify the query into specific categories, such as “informational,” “transactional,” or “navigational.”
Once the system has determined the query’s intent, it retrieves relevant information from its database or the internet. This process may involve crawling web pages, analyzing documents, or searching databases for the most relevant and accurate information.
Finally, the system generates a response to the user query. This may involve generating a summary, answering a specific question, or providing a list of relevant results. The AI system may use various techniques to generate the response, including natural language generation (NLG), summarization algorithms, or chatbot frameworks.
The response generated by the AI system is based on the data it has analyzed and the algorithms it has used to interpret the user query. The accuracy and relevance of the response depend on the quality of the data and algorithms used, as well as the complexity and specificity of the user query.
| Chat GPT | Google Bard | Bing | |
| Pricing and Accessibility | The original version of Chatgpt remains free to users, but a plug is available for $20 per month. | Free for members of the public, although through a waitlist. Accessible to use when accepted after joining the waitlist. | Accessible to Users who are accepted after they join the waitlist. |
| Developer | OpenAI | Google/Alphabet | OpenAI (Uses finetuning) |
| Technology | GPT-4 | LAMDA | GPT-4 |
| Response to Queries | ChatGPT was trained on a vast collection of text from different sources such as books, scientific journals, news articles, and Wikipedia. The training data used had a cutoff date of 2021, meaning it does not have access to recent events. | Bard has real-time access to Google’s rich database that is gathered through search. It uses this information from the web to offer reliable and current responses. | Like Bard, Bing has real-time access to Bing search and can provide current information. |
Although Bard, Bing, and ChatGPT aim to provide human-like answers to questions, each has a unique approach.
Bing employs the same GPT technology as ChatGPT and can go beyond text to also generate images. Bard uses Google’s LaMDA (Language Model for Dialogue Applications) model and often provides less text-heavy responses. In contrast, Bing collaborates with OpenAI.
Applications and use cases of ChatGPT, Bing, and Google Bard
Now that we’ve seen how Chatgpt, Bing, and Google Bard work, how they compare in real life, and their differences, let’s now talk about the applications of these AI language models in different use cases.
ChatGPT
ChatGPT has some unique features that make it particularly useful for specific applications.
First, it is the most verbally flexible and can generate human-like text, making it difficult to tell whether a human or AI is behind a piece of writing. Second, it uses Reinforcement Learning with Human Feedback to create interactive responses that evolve and adapt based on user feedback. Third, it can be used for translating text from one language to another, making it easier for users who speak different languages to communicate.
Fourth, it can summarize long texts, saving time for people too busy to read lengthy reports. It can also provide personalized content using machine learning algorithms.
Bing
Bing is best for getting information from the web. It has expansive use cases and applications such as:
- Calculation, units, and currency conversion: Type the value or equation and the units, and Bing will give you the result. You can also do currency conversions and mathematical equations.
- Search for a specific file type: You can use the contains:<fileExtension> option to find sites containing a specific file type. For example, contains: pdf would return sites that have a PDF file.
- Get weather forecasts: Type the name of the city followed by the weather or forecast. You can also add units of measurement such as Celsius.
- Track flights: Type ‘flight status’ in the search box, and Bing will ask for the airline name and flight number. Enter the details and click on get status to get the flight status.
- Add preference for a particular result type: Use the preferred:<keyword> option to give more weight to results containing that keyword. For example, to search for a content management system, enter prefer:php to get results for PHP CMS.
- Get live stock quotes: Enter the ticker symbol and the word stock to get the quotes.
Google Bard
Google Bard is currently more limited but has several potential uses that could make our lives easier and help us learn new things, such as:
- Providing accurate answers to questions using advanced AI algorithms.
- Using the familiar Google search engine to find information quickly and easily.
- Improving task automation with Google AI technology.
- Offering personal AI assistance, such as helping with time management and scheduling.
- Serving as a social hub and facilitating conversations in various settings.
How businesses and individuals can use AI-Language models
There are multiple ways in which AI language models can benefit individuals and businesses. Several ways are:
One of the biggest advantages of using AI in businesses is that it can handle some tasks, especially routine ones, faster and more efficiently than humans. They can even help with some routine coding tasks.
This means that people can focus more effort on those critical tasks that AI can’t do, which leads to better use of human intelligence and empathy. By letting technology handle mundane and repetitive tasks, companies could save money and maximize the potential of their human workforce. Using AI can also speed up the development process and reduce the time it takes to move from the design phase to production and marketing. This means that AI could allow companies to see a quicker return on their investment.
Improved quality and fewer mistakes
By using AI in some of their processes, businesses can reduce errors and stick to established standards better.
