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Google Bard vs. ChatGPT: What's the difference?

Vlad Kovalskiy
February 20, 2024
Last updated: March 11, 2024

Language processing has been expanded, and as such, many language models exist currently. One of the known models is ChatGPT and Google Bard. These models have completely changed our interaction with technology. They can also change how we talk to each other.

Any business should understand how language models help since they are important in customer engagement, content creation, and data analysis. By reading this article, you will learn how to compare and assess the features of ChatGPT and Google Bard so that you can select one that suits your particular needs. In this regard, we shall discuss the key differences, features, and functions of both models to help you better understand when making applications.

For example, subscribers who pay for the service get exclusive access to GPT-4. GPT-4 is capable of browsing the internet and creating AI-generated pictures. On the other hand, Bard performs functions such as ChatGPT but at a much higher speed and without any costs charged for it. However, there are defining factors that separate them.

Now let’s look deeply into GPT versus Bard reviews with all its features explained.

ChatGPT Review

ChatGPT is an artificial intelligence (AI) model of natural language developed by OpenAI, a leading global research organization for AI. It is a state-of-the-art conversational AI that can interpret and generate human-like responses to diverse natural language questions.

Based on GPT (Generative Pre-trained Transformer) architecture, the model is a kind of neural network that is able to generate human-like text. Therefore, ChatGPT was trained on massive amounts of data like books, articles, and websites to enhance its understanding, generation, and imitation of up-to-date human information exchange.

ChatGPT has several benefits, which include performing various language-related tasks such as summarizing, translating, and responding to queries. It gives coherent and appropriate answers in context, making it a great generative AI tool for chatbots, customer care services, and virtual assistants.

Additionally, ChatGPT has been fine-tuned for specific purposes, such as creating poems or writing news articles. The result was highly creative and literary pieces that were widely appreciated. With its wide range of applications, ChatGPT is a powerful AI Chatbot with huge potential.

Google Bard Review

Since it was announced in 2021, the new natural language generation model from Google, known as GPT-3 or Google Bard, has caught the eyes of many in the NLP community. The moniker “Bard” alludes to a skilled poet or storyteller, with the actual model built to generate high-quality poetry and other creative writings.

It is constructed on GPT architecture and trained on a large corpus of texts across genres such as poems, novels, and essays. One of its key features is that it can produce coherent and meaningful poetry in various styles and forms like sonnets, haikus, or free verse.

Google also mentioned that Bard can be used for creating jokes, puns, and even scripts. Given this fact, it is an invaluable tool for creative individuals like authors, poets, and advertisers.

Bard has been designed with interactivity in mind; thus, users can drop hints to get creative Bard’s responses in real-time. This function could make it an important tool for chatbots or other conversational systems acting naturally in a dialogue.

Difference between Google Bard and ChatGPT

Google Bard and ChatGPT are two advanced models of natural language processing (NLP) that have attracted significant attention within the NLP community. However, despite being tied to GPT architecture, major differences exist in their design and training.

Google Bard is an example of a model trained for producing high-quality poetry as well as creative writing in general. To achieve this goal, it was given a Bard extension set of literary works and poetic texts with special emphasis on stylistic and semantic aspects. Bard has dedicated subsystems that generate very coherent and creative poetry. Rhyme finders, meter finders, and poetic metaphor finders enable him to make relevant poems.

ChatGPT, on the other hand, is more of a general-purpose AI Chatbot that can translate, summarize, or answer questions, among other things related to language. The architecture of ChatGPT is designed to produce natural language text resembling human written text but with a greater focus on context understanding for appropriate responses. For her training, various sources like novels, articles, and website materials were used to give her a better feel of the language. There is also another difference concerning their interoperability.

It is worth mentioning that there is an interactive feature in Google Bard extensions that allows users to provide cues and receive imaginative answers instantly. On the other hand, ChatGPT does not have this interactive feature, but it always ensures that its reply fits in context. When it comes to potential applications, Google Bard may be better used for creative writing, e.g., poetry fiction and screenplays, whereas ChatGPT can be applicable as a chatbot, virtual assistant, and any other conversational generative AI application.

The first overview of ChatGPT and Bard

Regarding the basics, both chatbots are based on natural language processing. This means that people put in a prompt or question and receive an answer that could pass for humans.

However, there are some key differences between them regarding the models they have been trained on and the access to the generative AI chatbot itself (Bard is free in over 230 countries and territories and is available in more than 40 languages only, while ChatGPT offers nine languages and operates in 164 countries and territories).

In succeeding sections, I will go deep into some of the distinct differences between Bard and ChatGPT, but here is a brief comparison of AI tools.

Creators:

  • ChatGPT – OpenAI

  • Bard – Google

Language model:

  • ChatGPT – OpenAI's GPT-3.5 (ChatGPT Plus: GPT-4)

  • Bard – Pathways Language Model (PaLM 2)

Data Sources:

  • ChatGPT – Common Crawl, Wikipedia, books, articles, documents, and open internet content, which were scraped together, make up some of the massive datasets from which ChatGPT was trained; the GPT-3.5 model is valid up until 2021 as a source for free up-to-date information but ChatGPT Plus users have access to GPT-4 for web pages searches.

  • Bard – How Bard is trained using an Infiniset dataset? It consists of Common Crawl, Wikipedia, documents, and conversations and dialogues from web pages; it can also use Google search through the internet.

Pricing:

  • ChatGPT – Free; ChatGPT Plus is available for $20/month

  • Bard – Free

ChatGPT vs Bard: Pricing and Availability

Since both ChatGPT and Google Bard are AI models, they cannot be directly purchased by someone. Instead, these APIs (Application Programming Interfaces) or cloud platforms are usually used to distribute them to developers and businesses.

However, the model is just a research prototype, and its commercial release date is unknown. Nevertheless, Google has said they will include Bard in their cloud services.

On the contrary, ChatGPT can be accessed on many different cloud platforms like GPT-3 API made by OpenAI and Transformer API provided by Hugging Face. Depending on what one chooses regarding features provided and usage frequency, this can also be facilitated via subscription policies made through such systems. This range of prices begins at some hundreds for monthly payments before reaching thousands of dollars for any given month depending upon such levels of support and accessibility there.

These models’ costs do not only lie in the subscription fee. To effectively use these models in their applications, developers and firms may need to invest in computing power, storage, and technical support.

However, while ChatGPT is currently more accessible than Google Bard, the cost of utilizing these models may vary by platform and required access level. Therefore, developers and organizations considering these models should weigh carefully among various pricing and availability options available to them so as to select the best suited for their intended purposes.

Integration of ChatGPT and Google Bard

ChatGPT and Google Bard AI tools, however, can be integrated into various applications and platforms through APIs (Application Programming Interfaces) and SDKs (Software Development Kits). OpenAI's GPT-3 API, which developers can use to integrate the model into their applications, is where ChatGPT is present. It allows developers to create their own models based on ChatGPT and provides pre-trained models for different natural language processing tasks like translation, summarization, and sentiment analysis. Apart from GPT-3 API, ChatGPT is also available through Hugging Face Transformers API, which has comparable features.

But Bard is not accessible at present through an open API, and there are few options for integrating it. Bard is essentially a prototype meant for academic researchers and developers who want to experiment with different aspects of the model.

Nevertheless, according to Google’s statement, there are plans to release Bard in its cloud services, eventually providing further integration capabilities.

In general, combining ChatGPT and Google Bard within apps requires tech expertise or knowledge concerning natural language processing and machine learning.

ChatGPT vs Bard: special features

Google’s Bard and ChatGPT are two of the most sophisticated computer programs that can handle language with various functionalities.

For example, Google Bard is one of the most accomplished speechwriters on the internet. She was raised on a steady diet of literature and poetry and has some very unique “subroutines” that enable her to produce highly eloquent verse. In particular, this architecture includes rhyme, meter, and poetic metaphor detectors that allow it to generate meaningful and well-formed poems. Additionally, she can give users feedback instantly as they write. This makes her ideal for chatbots or other conversational applications.

Unlike Bard, ChatGPT is a general-purpose language model that can be used for a variety of NLP tasks, such as translation and summarization. It has been trained on different datasets, including books, articles, and websites, and it can produce natural text like those written by humans. Key features in its design include multiple-headed attention with transformer networks to handle complex sentence structures within a given context. It is also extremely malleable; a user may teach the model how to behave in order to meet their specific requirements.

ChatGPT’s main advantage is its ability to communicate with users using everyday language. ChatGPT has advanced conversational AI capabilities that enable it to comprehend and produce real-time sensical responses to users’ queries. Consequently, chatbots, virtual assistants, and other conversational AI applications find it very useful.

Google Bard, on the other hand, is a creative writing language model specialized for highly specific purposes. ChatGPT is a general-purpose model that can do multiple natural language processing tasks like interactive conversations. Both models have their own peculiarities and features, which can be chosen depending on the application and type of output desired.

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2023 year for Both models

ChatGPT

This generative AI chatbot was built using machine learning, which involved a large amount of data and interactive interaction with humans. Special human trainers participated in the training process of neural networks that acted out different sets of interactions between artificial intelligence and the user according to the reward models questionnaires they provided to it.

In addition, this program generates and transfers texts from one language into another effectively; thus, it can be used as a good-quality online translator.

Consequently, ChatGPT went through intensive studying and retraining based on the trainer’s assessments, making its answers more accurate and complete and turning it into a more “human” based language model.

Later on, in March 2023, this chatbot was retrained using the improved GPT 4 algorithm, which significantly expanded its capabilities. At the same time, he continuously educates himself because his dialogues with users can be saved and analyzed to enhance his potential.

ChatGPT now has up to 25000 words of RAM capacity; this means that it can process exactly that much text in a single request and generate and translate by itself.

The GPT-3.5-based language model that the preceding version of this upgraded chatbot could not carry out means it can address much larger issues. This is an improved neural network that has the ability to write programming code for a bit of software, a full-scale legal agreement, any literature piece, etc., in its most complete form. It is also more contextual and sticks more closely to the style given.

According to the developers, ChatGPT Algorithm version 4 has been made more creative, works better with “subtle scenarios,” and adapts more efficiently to users’ needs. In addition, it taught the chatbot how to handle images.

Google Bard

Instead of ChatGPT being overwhelmed by many requests simultaneously, the Google Bard employs a lightweight LaMDA language model that demands fewer computational resources and is easier to scale. That’s how the Google Bard team sidesteps ChatGPT’s inherent problem concerning too many simultaneous queries. This is an excellent argument in favor of either Google products or ChatGPT.

In addition to analyzing what others say or ask, Bard’s neural network also understands such subtleties as context and purpose hidden behind them. The development team has, therefore, grouped high-level concepts and topics into clusters in a hierarchical fashion. The model employs them as up-to-date information sources for choosing the best answer. When making LaMDA, there was an emphasis on the need for its responses to seem real and have natural human-like speech.

Google Bard was released in early February 2023 and opened up the waiting list on March 21. By mid-April, the new chatbot will remain open on a limited basis for users, only through a waitlist. The service is free at present, and this will likely be so in the future since it is intended to be integrated into Google’s search engine. To use Bard, you have to be at least eighteen years old with your personal Google account. For now, it is only available for US and UK citizens, but developers intend to make it accessible to other countries in due course.

Google Bard, like other generative neural networks, continually learns itself, generating errors or misunderstandings. In the first demonstration of this program, the chatbot gave an incorrect response when asked about the James Webb Space Telescope. It can make Google Maps with up-to-date information.

Even though the first image was captured by an Earth-based observatory in 2004, he stated that it was the first telescope to picture a planet beyond our solar system. One day after the scandal, Google’s market capitalization fell by $100 billion.


Bard vs. ChatGPT: which is better?

This was so much to take in, so let us go through each of these A.I. chatbots one by one.

Google Bard: pros and cons

Pros
  • Bard provides a superior overall user experience and comes with options such as easy modification of prompts, exporting responses to Google Docs and Gmail, and sharing conversations.
  • By allowing users to access web searches faster than ChatGPT and at no cost whatsoever.
  • Bard has a feature that enables users to find images on the web and Google Maps directions.
Cons
  • Bard can read its answers out loud, but it is difficult to understand due to its robotic voice.
  • While Bard can be prompted for sources and external links to resources, they are not always reliable.
  • The main exception here is that Bard has no plugins or integrations besides Google apps.

ChatGPT: pros and cons

Pros
  • ChatGPT is much better at creating other texts like long articles, emails, etc, and can also produce AI images.
  • ChatGPT provides a collaborative environment where conversations can be shared with others.
  • There are many plugins and suites of integration, including Zapier with ChatGPT, which creates extra use cases for other applications.
Cons
  • Internet access is only available for ChatGPT Plus users as well as enterprises.
  • You cannot share conversations with images using ChatGPT.
  • Web search is sometimes glitchy and way slower than that of Bard.

It is worth noting that Chat GPT and Bard have one notable downside: both chatbots tend to generate plausible-sounding but incorrect responses (also known as hallucinations).

Ultimately, the best AI tool depends on its intended application and whether you can tolerate such annoying hallucinations.

Bard vs. ChatGPT at Work

When ChatGPT was released to the public in November 2022, it was probably inevitable that other tech giants would release their own versions of ChatGPT. In March 2023, Google launched Bard AI in response to OpenAI's groundbreaking chatbot in the United States and the United Kingdom. Previously, Bard had been supported by LaMDA and PaLM 2 – language models developed by Google –. Still, now Gemini Pro is utilized by Bard to create responses that are slightly superior to those of ChatGPT. Different sources of information are used by Bard to construct responses to ChatGPT, and this means that the competitor doesn’t necessarily answer back the same way. So there’s already some interest in “Google Bard vs. ChatGPT”.

The key difference between Bard and ChatGPT is the data sources used to train LLMs powering them. Bard's training involves papers on science, mathematical expressions, and source codes; besides, this chatbot can access the internet while chatting. As of December 2023, it’s now powered by Gemini Pro, a language model.

To begin with, let your employees be aware of what they can and cannot do with ChatGPT. Whereas creating Google Sheets formulas is not a big deal, utilizing ChatGPT for writing complete articles or producing content raises a lot of difficult issues regarding plagiarism and editorial ethics. It will help you put off AI-generated fires.

On the other hand, make sure that your employees know the terms and conditions of using ChatGPT as well as the precautions they should take into account while using it. Anything written in ChatGPT can technically be used to train it – hence, everyone who uses it should be aware that ChatGPT keeps their data and thus think twice before entering any information. For example, you wouldn’t want to type your restaurant’s secret sauce recipe into ChatGPT if you want to improve it.

If you are not already on ChatGPT at all, this might be the time to start. It is already saving some businesses much-needed time and resources, and it will only get smarter and more intelligent than the present version. The recent release of GPT-4 shows well how fast this phenomenon is growing.

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In conclusion

In conclusion, Google Bard and ChatGPT are the two language models that are potent in this field. However, the former is designed mainly for authoring such as poems, jokes, and scripts, while the latter is a general-purpose model capable of carrying out multiple NLP tasks like interactive dialogues.

Use case and desired output are the main factors to consider when selecting between Google Bard and ChatGPT. The first one is suitable for creative purposes, while the last one has advanced conversational AI capabilities which allow it to be used in chatbots, virtual assistants, etc.

The progress of artificial intelligence (AI) has made language models like Google Bard and ChatGPT more valuable in various sectors. These developers have to evaluate these models based on their characteristics, features, and integration opportunities with other systems so as to find which one suits their requirements well.

Advanced language models such as Google Bard and ChatGPT serve as significant milestones in natural language processing (NLP) and artificial intelligence (AI). They continuously evolve and integrate into many platforms across different use-case domains, opening up interesting pathways for future development.

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