Understanding ChatGPT and Its Differences From Google Bard!

Understanding ChatGPT and Its Differences From Google Bard!

AI intelligence is taking the world to new heights each day. From automating simple everyday processing to replacing heavy machinery in industries, AI, coupled with various other technologies, has changed the technology landscape. ChatGPT is one of the prime examples of AI revolutionizing the world.

If you are from the IT sector, there is no chance that you haven’t heard of ChatGPT. Since its release in November 2022, it has taken the world by storm. And soon after that, Google took out one of the best pieces of its arsenal, Bard.

So, whether you are aware of these two AI rivals or not, the coming sections will surely be fruitful for you!

What is ChatGPT?

If you don’t know, let’s put some light on ChatGPT.

ChatGPT is an AI-backed chatbot that provides human-like responses against the text inputs provided by the users. Now, some of you may argue how it is different from Jasper, Quillbot, and other similar tools. Well, there are many differences, but one key difference is that it is not connected to the internet. Moreover, it is not linked with any type of external information.

ChatGPT generates responses that are conversational and are generated from the data it has been provided. Hence, making it a language-processing system and not a search engine.

How does ChatGPT generate responses?

To elaborate further, ChatGPT generates human-like text and does not access the internet to do it. How? The process is called pre-training, in which a system is provided with heaps of data, and the system is tuned to establish relationships between words and concepts. This can be further used for translation and summarization.

One doubt some of you might have in your mind, what is the source of information for ChatGPT? The data provided to train ChatGPT includes sources like books, websites, and a number of articles.

With the help of these resources, ChatGPT is capable of generating a plethora of content types, such as

  • Program and software codes
  • Social media posts
  • Cooking recipes
  • Blogs and articles
  • Emails drafts
  • Summaries
  • Jokes
  • Law briefs

And much more!

GPT-3 — The Model Behind ChatGPT!

We have been talking about ChatGPT for some time now. Let’s get a bit technical!

GPT in ChatGPT stands for Generative Pre-trained Transformer. ChatGPT is an implementation of GPT-3, which is an exceptional neural network machine learning model. So far, GPT-3 is the most powerful model ever created. Why?

Unlike Microsoft’s Turing Natural Language Generation model, which featured 10 billion parameters, GPT-3 is created with 175 billion parameters that provide it lightning-fast speed to process billions of words per second. Further, ChatGPT excels at understanding the context of the conversation with the help of self-attention mechanisms.

Bard – The Rival to ChatGPT Initiated By Google!

In the last three and half months, ChatGPT has acquired millions of daily active users. If we go by the numbers, by the end of December 2022, it garnered over 57 million users. The number further climbed to 100 million by the end of January 2023.

As most of the online community started calling it the replacement of Google, Google stepped in to defend itself and launched Bard.

Google Bard is an AI chat service that is backed by the revolutionary Google’s LaMDA. Expanded as Language Model for Dialogue Applications, Google LaMDA was unveiled by the tech giant two years ago. Though Google was ahead in the game with its Transformer technology invention, it is not a frontrunner in the AI revolution.

How is Bard Different From ChatGPT?

We know that ChatGPT has set the bets high, and it will be difficult for any tech giant to face it. Google Brad has the capability to match ChatGPT. However, it will take time as Google has just launched Bard with limited capabilities as of now.

Bard vs. ChatGPT — Key Differences

Other than being developed by different tech giants, these AI chatbots can be differentiated based on some points!

  1. Source of information

One of the chief differences between Google Bard and ChatGPT is their source of information. As elaborated in the previous sections, ChatGPT is not connected to the internet but is fed with heaps of data from various sources. It uses AI to fine-tune the data and provide relevant human-like responses to the users.

On the other hand, Google Bard leverages the power of the web to provide all the information.

  1. Quality of information

As the source of information for Google Bard is the web, the quality of information will be good. It will generate responses that will have the latest information, and that information will be fine-tuned and detailed as compared to the standard Google search results.

In contrast, ChatGPT is trained on a limited set of data which means the responses to user queries will only be limited to those data sources. The user may not get the latest information on some queries.

  1. Technology

The third distinguishing feature between the two is the technology used. Google Bard uses LaMDA, which uses the open-source network to comprehend natural language. Moreover, LaMDA is trained to look for patterns between different words and sentences to generate an output.

On the other hand, ChatGPT uses GPT-3, which is a powerful Generative Pre-trained Transformer. It generates human-like responses by deeply analyzing the importance of words and phrases in the input queries. ChatGPT does not need a grammatically correct sentence to provide a response; it can generate an output based on a few words too.

The Future of Chatbots!

As of now, Google is considered late as ChatGPT has covered most of the market. Moreover, Microsoft plans to combine ChatGPT with the Bing search engine, which will be another impediment for Google to overcome. ChatGPT has also launched its premium service at an affordable price.
However, Google has announced that AI features will be seen in the Google search engine in the coming time. So the users might get to see refined results.


ChatGPT is one of the best inventions of the 20th century. As people have started calling ChatGPT an alternative to Google search, Google will not stay silent on this. As of now, it has rolled out the most basic, low-power consuming version of Google Bard. However, it is not certain or in any way speculated what the search giant is up to.

If you want to understand these chatbots or want to build one of your own, you can get a quote from Reinforce Global.

How AI Will Improve Customer Experience in 2023

How AI Will Improve Customer Experience in 2023

Whether it is an online website or a phone app, customer experience is the primary element that transforms the stature of a business. It doesn’t matter how good the user interface is; if the functioning and navigation of the website are not good, users will not entertain your business.

As per stats, 42% of the customers are willing to pay more if offered a friendly customer experience. Now, with the speed at which technology is accelerating, it can be tough to keep up with the competition all the time. Hence, the use of top-end technologies like AI, ML, Blockchain, and many others has increased.

Out of these, artificial intelligence has gained massive traction in the past decade. It is being used in almost every industry today. But how can it affect customer experience? How can AI for customer experience be beneficial? Let s read ahead and find out in this article!

What is AI for Customer Experience?

If we talk about AI first, AI is a technology that enables machines to do human-like tasks easily. Though it cannot mimic all human tasks, it can surely ease some of the tasks for humans.

Companies today use artificial intelligence to deliver better solutions to their clients and customers. How? Well, customer data is the centerpiece of this. AI helps firms to devise better and more valuable insights from the data gathered from various sources. The data is huge heaps, so it can take time to analyze for a human. Hence, artificial intelligence comes into the picture.

An excellent example of AI for customer experience is personalization. When a user interacts with a website, the website can keep track of pages the user has visited and the user of the product has searched for. This data is fed to a machine learning algorithm (part of AI) that finds a pattern in them and, based on them, suggests choices to target users with personalized products. Hence, enhancing customer experience.

As per stats, AI will power 95% of customer interactions. It shows that if you are not packed and jacked with AI applications, you may be crushed by your competitors.

How are AI Applications ready to Boost Customer Experience in 2023?

So, when it comes to customer experience backed by AI, there are various ways AI can improve and enhance it. Here are some of them!

AI Chatbots

If you have visited websites dedicated to the app or website development, you will likely see a chatbox at the bottom right or left of the page. Not only development but some shopping and entertainment sites also have these chatboxes.

Now, these chatboxes are controlled by chatbots at the backend. They can help users with some basic queries related to the subject. But, with the collaboration of AI and chatbots, it can be enhanced further to improve customer service and experience.

Though AI-backed chatbots are not ideal for all types of tasks, they can surely be used for some basic customer services like invoice management, order details, and account management. Today, some chatbots can even handle refunds for businesses. The chatbot built within the app can handle simple refunds if the user complains about bad food quality or missing items.

As 23% of customer service companies are currently using chatbots and 68% of the users enjoy the speed at which chatbot answers, they are surefire to improve customer experience.


How do you see only those ads on Google that interest you? It is because of personalization. Personalization is all about keeping track of what you are viewing on the web or a specific website. Websites keep track of what you are viewing on a website and target you with suggestions and ads later on.

With the help of artificial intelligence, it can be further enhanced as business owners can scan more data in less time. AI applications can help analyze heaps of data to consider previous customer preferences, conversation history, and other critical information to provide valuable suggestions. This can save a lot of time people spend searching for the required product or service.

If you need an example of AI and Hyper-Personalization, here is one!

Naked Wine is an online wine retailer that uses Hyper personalization to provide wine recommendations to its users. They collect user reviews and feedback and perform predictive analysis to offer wine suggestions that the users may like.

Real-time Decisioning and Predictive Behavior Analysis

Real-time decisioning deals with analyzing real-time interactions of users to provide them with suggestions and recommendations. There are millions of users interacting with a website at a time. Hence, manually analyzing data related to each interaction can be tough. This is where AI comes into the picture.

Artificial intelligence combined with machine learning is the perfect solution for this. Businesses can capture real-time data while the user interacts with the website and provide the required results. For example, if the user has just skipped an expensive product, you can offer them more cost-effective choices.

On top of that, predictive behavior analysis can also be performed on the data. Predictive behavior analysis is about modeling the data to find patterns and routines to target users with valuable suggestions. The best thing about predictive behavior analysis is knowing what to present to the user and when to present it.


So, if you are a business trying to make it to the top in the competitive market, you need to leverage the power of AI for customer experience. You see, customer experience needs to be super smooth and immersive. Hence, you need to keep it focused and qualitative. With a variety of methods out there, it can become tough. Therefore, artificial intelligence can be useful. It can keep your business always in the eyes of your prospects while you can work on more important things.

If you need any help with AI applications related to customer experience, you can rely on Reinforce Global. The custom software development firm in the US has adept professionals and years of experience.

How is AI impacting mobile app development

How is AI impacting mobile app development

The number of smartphone users is growing so, every brand or business is developing their mobile app to find a space in their customers’ phones. However, to ensure superior customer experience, the mobile app should be fast, user-friendly, and technologically advanced.

When we talk about any technology, it is ever-evolving and keeps updating and upgrading. And so is the case with mobile apps, which keep updating and improving regularly.

Thanks to the evolution of Artificial Intelligence technology that is helping to improve users’ experience.

Many organizations have realized that Artificial Intelligence (AI) and mobile learning are the most necessary elements in the technological world. They have changed the way we communicate with the people around us.

The AI technology, shown earlier in scientific movies, is now becoming a part of our lives, from media, travel, virtual assistant, chatbots, advertising campaigns, and now even self-driving cars are using AI to understand the user behavior and act accordingly.

To achieve the maximum benefit of AI in mobile technology, the developer needs to have a better understanding of the technology and the right approach to ensure a superior user experience.

Here are a few benefits of AI integration in mobile app development.

User Experience: Many mobile apps fail as they lack user engagement and experience. Using AI in mobile apps helps analyze users’ behavior and better insight into their profiles. AI informs the mobile app what the user is looking for and how the app is in use. This information helps the app developers make the desired changes in the app to ensure a better user experience.

Personalized Experiences: Search engines are getting advanced by incorporating AI and Natural Language Processing (NLP) which helps understand a user’s intention and behavior. Likewise, mobile apps are leveraging AI to understand their users better and optimize search results based on their needs. So, the users do not have to remember what they searched a week before as their app does it for them.

Perfect Results: AI technology; has been designed to work on larger data sets, considering every possibility and mapping. Many industries, like healthcare, which require a high degree of accuracy, can utilize AI to deliver precise results. AI ensures more accuracy in medical checkups than conventional manual processes. And so, the integration of AI should be considered while developing mobile apps of industries where accuracy is paramount.

Real-time Forecasting: Numerous daily activities are difficult to track. AI integration in mobile apps can help in real-time predictions (traffic, weather, etc.) for the users’ benefits. AI in mobile apps can also help in formulating and correcting emails.

So what is the future of AI?

Well, the Artificial Intelligence future depends on its wise implementation. Reinforce Global provides advanced mobile app development solutions based on AI to industries from different segments.