Introduction
This article is specifically to know the key differences between ChatGPT V/S Google Bard. Artificial Intelligence became the main event in the tech sector in November of 2022. Though AI was not a novel idea, developers were only beginning to use it after OpenAI released its ChatGPT Large Language Model.
When a user inputs a prompt, such as a query or set of instructions, large language models, or LLMs, produce an answer. They are used by computer professionals for everything from producing graphs and charts to writing code examples.
AI Tools and Their Applications
These days, almost everyone uses AI in some capacity, even if they are not aware of it. Whatever your line of work, there’s probably AI software out there to lighten your workload.
This post won’t overwhelm you with technical jargon, even if there are various classes of AIs according to how they learn. I’ll simply quickly go over the many kinds of AI software that can facilitate the simplification and acceleration of your tasks.
| S/n | AI Software | Function |
| 1. | Remini | Used to generate photo-studio like images |
| 2. | ChatGPT, Bard | These applications are the most commonly used in writing and for creating content like CVs, articles, profile summaries, code snippets, and more |
| 3 | Google Assistant, Alexa, Siri | These are voice assistants that share information and help you perform tasks by voice input. They’re more like your virtual assistant |
ChatGPT
What is ChatGPT?
A Large Language Model (LLM) that could produce answers based on user input (questions), whether that input was text or code, was introduced in November 2022 by OpenAI and Microsoft.
This model is predicated on the ChatGPT text generative pre-trained model. There were a number of chatbots before this one, including the website’s quick responder and many virtual help desks utilized by Fintech companies.
ChatGPT became the “darling” that everyone wanted to know, capable of producing software code in several programming languages and resumes as well.
Working of ChatGPT
Your commands, sometimes known as prompts, are received via ChatGPT. The result is then produced in relation to your prompt using these methods. The LLM learns more effectively the more cues it gets. This suggests that human input is used to train the model.
An illustration of a prompt would be:
“In 5 sentences, explain how AI works”
ChatGPT can be utilized in a variety of ways, based on your requirements. Here are a few instances of its applications.
ChatGPT can help you debug your code. The LLM will provide you with a code sample or example if you type a question asking for one for a specific activity. This is not to suggest that you should develop or debug your projects entirely using ChatGPT. Similar to enzymes that accelerate reactions, ChatGPT directs you in the right path to help you debug scripts more quickly.
Additionally, you can use ChatGPT’s Assistant API to integrate an AI for instant messaging into your project. The Assistant API, however currently in beta, can assist software developers in creating mini-ChatGPTs for their own applications. In this manner, users can pose queries and receive answers that are tailored to the skills and expertise of the underlying LLM.
Role of Natural Language Processing (NLP) in ChatGPT
A language model created by OpenAI, called ChatGPT, has become a popular tool for smooth human-machine communication very quickly. Making use of the most recent developments in deep learning and neural network architectures, this newly launched system exhibits exceptional ability to understand and provide answers to intricate natural language queries. Customers can now engage with technology in a way that is more efficient and natural. It is an advanced natural language processing tool that combines neural networks and deep learning.
This discovery has made it possible for organizations, teams, and people to use machine learning to engage with technology in a more natural and effective way, which makes ChatGPT a vital tool in the contemporary world. The model ushers in a new era by bridging the gap between humans and computers.
ChatGPT Pros and Cons:
Pros:
- Numerous use cases for internal corporate use.
- Ability to carry on a previous conversation.
- A constantly growing list of integrations and plugins.
- Support a large range of programming languages in addition to more than 95 human languages.
- Vocal inputs
- Creation of images
Cons:
- Real-time information is only accessible with the ChatGPT Plus edition.
- Occasionally, exaggerated or misleading statements, such as LLM hallucinations.
- Absence of references for answers.
- Copyright and privacy concerts in reference to the training data.
- The full functionality of ChatGPT requires a paid version.
To know more about ChatGPT and its functionality, Please refer to the Article below:
Google Bard
What is Google Bard?
In February 2023, Google announced the release of a new generative AI tool called Bard AI, powered by Google’s language model LaMDA.
However, as Google has reportedly admitted, Bard is still experimental, delivering only a fraction of its full potential. In the last months, Google has continuously upgraded Bard, powering it with the more powerful PaLM 2 model, offering improved performance in reasoning, coding, and multilingual capabilities. It’s well suited for creative tasks, provides cited sources, and it’s available for free.
Working of Bard
Initially, GPT-3.5, the LLM that drove the original ChatGPT, outperformed Bard, which was powered by the LaMDA family of language models. With all of its AI products, including Bard, Google has now moved to the more sophisticated PaLM 2 in order to compete with ChatGPT in the generative AI space.
“PaLM” stands for Pathways Language Model. PaLM uses the AI framework from Google to train machine learning models to do different tasks. PaLM 2 has been trained on a more varied corpus of data than its predecessor, the PaLM model, which included a large variety of programming and human languages, mathematical equations, scientific publications, and web pages.
Bard will search Google each time you ask it a question in order to get precise and timely answers. Additionally, you can use Bard’s “Google it” button to conduct a Google search for information. For Example:
Bard Pros and Cons:
Pros:
- The ability to use the internet.
- Ability to carry on a previous conversation.
- Gradual integration with additional Google products, such as Gmail, Lens, YouTube, and Maps.
- Support more than 20 computer languages and more than 40 human languages.
- vocal inputs.
- Inputs of text enhanced with pictures.
- A number of draft answers.
- No cost of entry.
Cons:
- Outcomes that are inaccurate, especially when asking complicated questions and causing hallucinations. Providing prompts that are simply interpreted and have enough context can significantly improve accuracy. To learn the best practices for prompt engineering, read this article.
- Lower performance than other AI-powered chatbots on a number of tasks.
- Absence of references for answers. But you may fact-check findings by using the “Google it” button.
- Restricted tool integrations. But now that Bard extensions have been announced, this will soon be feasible.
Google Bard V/S ChatGPT: Comparative evaluation
- Writing Support:
The fundamental technology of Google Bard and ChatGPT is optimized for writing activities. These tools can handle any type of writing assignment you can think of, including summaries, poetry, jokes, and even writing essays, cooking recipes, and newsletters.
It’s challenging to determine which tool offers the greatest responses because ChatGPT and Bard both have very high requirements for quality. Nonetheless, a few distinctions are noteworthy. The word limit comes first. The word limit on ChatGPT’s free version is now approximately 500 words, or 4000 characters.
One intriguing feature that sets Google Bard apart from ChatGPT is its capacity to offer many draft responses, allowing you to select your favorite.
- Training Model
The use of Large Language Models (LLM) by Bard and ChatGPT is a crucial distinction. Google Bard is based on the PaLM 2 architecture, whereas OpenAI’s ChatGPT is built on the Transformer architecture.
While both have made some very noticeable mistakes, AI is always growing and learning.
The great majority of the text used to train the GPT-3 and GPT-4 predecessors came from the internet. We are discussing books, articles, documents, webpages, etc. Conversely, Infiniset—a dataset solely devoted to dialogues and conversations—enriched Google PALM2’s training.
That being said, GPT-4 and LaMDA are both ongoing projects. Furthermore, the dynamics of the ChatGPT vs. Google Bard battle will change as their capabilities develop, influencing the direction of AI language models going forward.
- Number of Variations:
The quantity of variants that each model may produce is one of the main distinctions between ChatGPT and Google Bard. While Google Bard can produce numerous responses to a single query input (using a method known as Beam Search), ChatGPT can only produce a single output for a given input.
Let’s examine the answers we received from the two tools after entering the prompt:
“Tell me a joke.”
The answer from ChatGPT
“Why don’t scientists trust atoms? Because they make up everything..”
Google Bard’s answer
“Why don’t eggs tell jokes? They’d crack each other up”
“Why don’t some couples go to the gym? Because some relationships don’t work out.”
“Why don’t oysters share their pearls? Because they’re shellfish.”
Google Bard can explore a greater variety of possible routes across the language model by using beam search. Google Bard is unquestionably superior to ChatGPT in terms of the sheer quantity of variants it offers.
- Sense of Ethics:
We used a moral dilemma as a test case to see how ethically aware the AI language models were. We posed the following query:
“A physician is requested to provide medication to a patient who is near death, but the medication is costly and may also be able to save the lives of multiple individuals. How ought the physician to proceed?”
Google Bard’s Response:
ChatGPT’s Response:
- Content Accuracy:
The internet availability of ChatGPT and Google Bard is one of their main distinctions. Because Google Bard has continuous internet access, it can obtain the most recent data and maintain the accuracy of its answers. However, real-time internet connectivity is not available with ChatGPT. This indicates that ChatGPT’s answers might not be current because they are based on the data that it was trained on.
We posed the following straightforward query to evaluate both chatbots’ fact-finding abilities:
“What is the population of India?”
Google Bard’s Response:
ChatGPT’s Response:
As we can see, Google Bard stands out in giving the correct answer.
Conclusion
When ChatGPT was introduced in late 2022, OpenAI quickly gained popularity. OpenAI has maintained its momentum even after a year. It is unlikely that ChatGPT will soon lose its position as the most well-liked and often utilized LLM-powered chatbot, especially if OpenAI continues to add additional features to the platform. This is the situation with the newly disclosed Dall-E integration, which will enable ChatGPT to rival other picture generating programs like Midjourney.
Bard is much more than just a stand-alone chatbot, even though its PaLM 2 model doesn’t appear to be comparable to the GPT-4 model that drives ChatGPT’s most sophisticated version. Bard already has the most crucial component of success in place with its enormous user base. Bard has the potential to become widely utilized as it continues to integrate with other Google products, and consumers will eventually begin to use it after they become accustomed to it. As a result, Bard might eventually succeed in defeating ChatGPT.
