Delhi School of Business

By Vivekanda Institute of Professional Studies-TC

NBA Accredited , Equivalence to MBA by AIU

MBA College in Delhi

Why ChatGPT is better than Google?

The conflict between ChatGPT and Google has arisen with the emergence of ChatGPT, as it has garnered significant attention and usage in various fields allowing it to respond to a broad range of inquiries and prompts.

But, what is ChatGPT and how is it conflicting with the user base of the biggest search engine of all time “Google” which has always given the answers to all of the questions we’ve ever had?

ChatGPT, or “Conversational Generative Pre-training Transformer,” is a language model developed by OpenAI that has the ability to generate human-like text. It is considered to be one of the most advanced language models available today as it is created on the language model GPT-3.

Being a Chatbot, ChatGPT is the closest thing to what we used to watch in movies like the terminator and Robot, where the super-intelligent AI has exceeded the capabilities of a human for information retention and has started acting, talking, explaining, creating, and even joking better than most people. It’s just that ChatGpt hasn’t started to get evil thoughts.

ChatGPT can do all this because of the new GPT-3 model which has a significantly larger number of parameters of 175 billion and was trained on a much larger dataset of 570 gigabytes of text, compared to its predecessor GPT-2, which had only 1.5 billion parameters. This increase in scale has a major impact on the model’s performance. GPT-3 is able to accomplish tasks without prior training, such as translating from English to French and sounding more humane, unlike GPT-2.

One of the biggest advantages of ChatGPT is its ability to understand the context of what the user is trying to say by analyzing the questions they’ve asked in that ongoing conversation. Unlike Google, which relies on keywords and phrases to provide search results, while not adapting according to the previous searches. 

This is because ChatGPT is pre-trained on a massive amount of text data, allowing it to have a better understanding of language and context. It is able to generate text that is natural and easy to understand. This makes it ideal for use in chatbots and virtual assistants, as it can provide responses that are more natural and engaging for users. It can generate text in a wide range of styles, from formal to casual, making it a versatile tool for different use cases. 

Furthermore, ChatGPT allows for more control over the generated text, with options such as controlling the length of the generated text, adjusting the level of formality, and even controlling the sentiment. This allows for a more personalized and tailored experience for the user.

ChatGPT is open-source, which means that developers can access its code and make modifications as per their requirements. On the other hand, Google is a proprietary technology, which makes it less accessible and more difficult to customize. This makes ChatGPT a better option for developers who want to build custom applications that require natural language processing capabilities by integrating it into their website and teaching it according to their needs.

But, how can any AI model which is not even a year old compete with google? It’s true that everything has its advantages over something and nothing is perfect, just like that ChatGPT is not perfect and flawless. 

ChatGPT can be termed as not trustworthy as it may occasionally generate incorrect information, produce harmful instructions or biased content, and only has limited knowledge of the world and events after 2021. 

Still, Its ability to understand context, generate human-like text, handle multiple languages, fine-tune to specific use cases, and control generated text to make it a valuable tool for businesses and developers looking to implement chatbots or virtual assistants pose great competition to Google and can even beat it in its own game as OpenAI is constantly making ChatGPT better in terms of its information, parameters, datasets, efficiency, server size, and reliability.

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