ChatGPT Chatbot

09/12/2022

415 3 minutes read

Context- The OpenAI has introduced a new chatbot called ChatGPT, which is a ‘conversational’ AI and will answer queries just like a human would.

The ChatGPT are enabled to answer “follow-up questions”, and can also “admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”
The chatbot is based on the company’s GPT 3.5 series of language learning models (LLM).
GPT stands for Generative Pre-trained Transformer 3 and this is a kind of computer language model that relies on deep learning techniques in order to produce human-like text based on inputs.
The model is trained to predict what will come further, and that’s why one can technically have a ‘conversation’ with ChatGPT.
The chatbot was trained using Reinforcement Learning from Human Feedback (RLHF).

The chatbot can be used in real-world applications such as digital marketing, online content creation, answering customer service queries or as some users have found, even to help debug code.
It can respond to a large range of questions while imitating human speaking styles.
ChatGPT is being seen as a replacement for the basic emails, party planning lists, CVs, and even college essays and homework.
It can also be used to write code.

The chatbot displayed clear racial and sexist biases, that remains a problem with almost all AI models.
The chatbot gives answers which are grammatically correct and read well– though some have pointed out that these lack context and substance, which is true.
ChatGPT occasionally produces inaccurate information and also its knowledge is restricted to global events that occurred before 2021.

Chatbots, also called chatterbots, is a form of Artificial Intelligence (AI) that is used in messaging apps.
The tool helps add convenience for customers—they are automated programs that interact with customers like a human would and cost little to nothing to engage with.
Key examples are chatbots used by businesses in social media platforms such as Facebook Messenger, or as virtual assistants, such as Amazon’s Alexa.
Chatbots tend to operate in one of two ways i.e. either via machine learning or with set guidelines.
However, due to advancements in AI technology, chatbots using set guidelines are turning into a historical footnote.

It can only respond to a set number of requests and vocabulary and it is only as intelligent as its programming code.
An example of a limited bot is an automated banking bot which asks the caller some questions to understand what the caller wants to do.

A chatbot that functions through machine learning has an artificial neural network inspired by the neural nodes of the human brain.
The chat bot is programmed to self-learn as it is introduced to new dialogues and words.
In effect, as the bot receives new voice or textual dialogues, the number of inquiries that it can reply to and the accuracy of each response it gives increases.
Meta (as Facebook’s parent company is now known) has a machine learning chatbot which creates a platform for companies to interact with their consumers through the Messenger application.

Chatbots are more convenient for providing customer service and support 24 hours a day, 7 days a week.
They free up phone lines and are far less expensive over the long run than hiring people to perform support.
Using AI and natural language processing, chatbots are becoming improved at understanding what customers want and providing the help they need.
Companies also like to rely on chatbots because they can collect data about customer queries, response times, satisfaction, and so on.

Even with natural language processing, the chatbot may not fully comprehend a customer’s input and may provide incoherent answers.
Many chatbots are limited in the scope of queries that they are able to respond to.
Chatbots also can be expensive to implement and maintain, especially if they must be customized and updated often.
The challenges of AI metamorphosing into sentient beings are far in the future; however, unethical AI perpetuating historical bias and echoing hate speech are the real dangers to watch for.