A.I Chatbot Explained How They Works? : Chat GPT & Google Bard A.i

A.I Chatbot Explained How They Works : Chat GPT & Google Bard A.i

In today's era, Artificial Intelligence has made its important place. And the reason for this is to give the users absolutely free and instant services which the users need. And the source providing such services is called A.I Chatbot. There are many types of chatbots available in the internet. that answers your questions quickly. Some of the popular chatbots are the Chat GPT service launched by Open AI and Google's own Bard AI.

 
But one question is important that how these chat bots work, which gives you the right information by examining crores of data available on the internet.


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How A.I Chatbot Works ( Simple Explanation ):
You can understand the functioning of AI chatbots in such a way that it depends on you to give you information. Now these bots cannot be kept in the category of media reporters that they themselves go to the destination of the source and then they provide you the information. Rather, these chat bots use the information you have put on the Internet, which they expand and give to you in their A.I language.

 

But suppose if you want to ask a question to these chat bots about a different topic, but the condition is that that information is not on the internet. But if still if you ask AI about that topic then he will refuse you. But on the other hand, if someone puts information about that topic on the internet, then immediately a.i bots will pick up that information and give it to you in their own language. And for this a.i Chat bots use Natural Language Processing (NLP) and Machine Learning ( ML ) algorithm. 


 
What Is Natural Launguage Processing ( NLP ) & Machine Learning ( ML ) ?: 
NLP and ML are two important techniques used in AI intelligence. Through which the functioning of A.I Chatbot is based on these two algorithms.

Natural Launguage Processing ( NLP ) : 
NLP can be understood in such a way that NLP is a part of computer science. Which deals in natural language between computers and humans. The main objective of NLP is to generate human-like simple language by not making computer language difficult. The way humans do.

 

Functionality Of NLP:
  • Machine translation: NLP can be used to translate text from one language to another. This is a valuable tool for businesses that operate in multiple countries, as it allows them to communicate with customers and partners in their native language.
  • Speech recognition: NLP can be used to convert spoken language into text. This is a useful technology for people who have difficulty typing, such as those with disabilities or those who are driving.
  • Chatbots: NLP can be used to create chatbots, which are computer programs that can simulate conversation with humans. Chatbots can be used for customer service, education, or entertainment. The perfect example of popular chatbot based on NLP is Chat GPT & Google Bard A.I.
  • Text analysis: NLP can be used to analyze text for patterns and trends. This can be used for marketing, research, or law enforcement.
  • Tokenization: Tokenization is the process of breaking down a text into its basic units, such as words, phrases, or sentences.
 
  • Part-of-speech tagging: Part-of-speech tagging assigns a part of speech to each word in a sentence. For example, the word "dog" could be tagged as a noun, verb, or adjective.
  • Named entity recognition: Named entity recognition identifies named entities in a text, such as people, places, or organizations. And then using NLP, chatbots give you detailed information about that person or organization.
  • Coreference resolution: Coreference resolution identifies words or phrases that refer to the same entity. For example, the words "he" and "the man" could both refer to the same person.
  • Semantic parsing: Semantic parsing converts natural language sentences into a formal representation that can be understood by a computer.
  • Natural language generation: Natural language generation is the process of creating text from a formal representation.


A.i chatbots use these sources of NLP to enhance their functionality. In which if you asked these chatbots "How does a suspension bridge works?". Then these a.i bots get information about that topic using NLP. And they get information about that subject in many languages. Which he translates those languages into computer language using NLP. Then by converting the translated language into natural human language, it puts the result in front of you. Sometimes such bots analyze the information present on the internet, then collect that information in one place and present it in front of you in simple language.

 

Machine Learning ( ML )?:
Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

What ML Can Do?
  • Predictive analytics - Machine learning can be used to predict future events, such as customer churn or product sales.
  • Fraud detection - Machine learning can be used to identify fraudulent transactions.
  • Self-driving cars - Machine learning is used to help self-driving cars navigate the road safely.

 
Popular A.I Chatbots: 
The year 2023 has been very beneficial for Artificial Intelligence. Because till now many such AI techniques have come in front of the people, which have attracted the attention of the people. Some of them A.I chatbots come to the fore which answer people's questions in a few seconds due to their A.I technology. Some chatbots are listed below.

  • ChatGPT is a chatbot developed by OpenAI. It is known for its ability to generate human-quality text, and it has been used to create a variety of creative content, including poems, essays, and stories.
  • Bing Chat is a chatbot developed by Microsoft. It is powered by the Bing search engine, and it can be used to answer questions, get help with tasks, and find information.
 
  • Bard Ai is a chatbot developed by Google AI. It is trained on a massive dataset of text and code, and it can be used for a variety of tasks, including answering questions, generating text, and translating languages.
  • LaMDA is a chatbot developed by Google AI. It is trained on a massive dataset of human conversations, and it can be used to have natural-sounding conversations with humans.
  • XiaoIce is a chatbot developed by Microsoft. It is popular in China, and it is used for a variety of tasks, including customer service, education, and entertainment.

 

We asked these A.I chatbots about "How They Works?" :
When we asked this question to these A.I Chatbots that how they work, most of the bots replied that we are bots based on large language model. Which uses algorithms like Natural Language Processing (NLP) and Machine Learning (ML) to provide information.

Bard : How do you works?
How Google Bard ai work


Her Reply, 
I work by using a massive dataset of text and code to generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. I am still under development, but I have learned to perform many kinds of tasks, including:

  • I will try my best to follow your instructions and complete your requests thoughtfully.
  • I will use my knowledge to answer your questions in a comprehensive and informative way, even if they are open ended, challenging, or strange.
  • I will generate different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc.
  •  I will try my best to fulfill all your requirements.



Chat GPT:  How does Chat GPT Works?
How does Chat GPT Works

 
Chat GPT Reply, 
As an AI language model, I work by processing and generating text based on the input I receive. My underlying architecture, GPT (Generative Pre-trained Transformer), is a deep learning model that utilizes a transformer neural network.

Here's a simplified explanation of how I work:
  • Input Processing: When you provide a message or a question, it is tokenized, which means it's divided into smaller units such as words or subwords. Tokenization helps me understand the structure and meaning of the input. 
  • Neural Network: The tokenized input is then processed by multiple layers of neural network transformers. Transformers are designed to capture dependencies and relationships between different words or tokens in a sequence. These layers help me understand the context and meaning of the input. 

Other chatbots work like Chat GPT and Google bard A.I. Because their working principle is based on ML and NLP Algorithm. If you ask questions to LaMDA, Bing Chat and Xiaolce, they will have the same answer as Chat GPT and Bard A.I.


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