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ChatGPT demystified: Understanding the nuts and bolts of the ‘magic wand’

Kunal Bhatt- Head Automation Practice, CMS IT Services
Kunal Bhatt- Head Automation Practice, CMS IT Services

ChatGPT has created a phenomenon by becoming the fastest-growing app ever. As an AI language model, ChatGPT has been constantly evolving and improving. One of the significant updates of ChatGPT happened on March 14, which brought several changes to the model’s architecture and performance.

Let us explore the updates that came with the ChatGPT Mar 14 version.

ChatGPT, based on the GPT-3.5 architecture, is one of the largest and most powerful language models available. It uses deep learning techniques to understand and generate human-like text responses to various prompts, making it a valuable tool for natural language processing tasks.

The ChatGPT Mar 14 update brought several improvements to the model’s architecture, which has resulted in better performance and accuracy. One of the key changes was the addition of new training data, including a larger and more diverse set of web pages, books, and other documents. This increased the model’s knowledge base, allowing it to generate more nuanced and contextually appropriate responses.

Some of the key features that are covered in the latest version of ChatGPT are Large Training Data, Multilingual Support, Continual Learning from user interaction. This is really helping companies to use the platform to connect with their systems via API to deliver the power of ChatGPT for content creation, coding and error finding, helping users gather information that is relevant and required for their daily operations.

We all are aware of ChatGPT using the Large Language Model (LLM) which uses Reinforcement Learning from Human Feedback (RLHF). This Language models are the foundation for many natural language processing (NLP) activities to generate human-like responses to text inputs.

ChatGPT uses neural network layer for deep learning, this allows the model to analyse and  understand the queries in human langauge and enables it to respond in line to the construct of the question that are coherant and contextually relevant. ChatGPT is trained with millions of data points under unsupervised learning that lets it recognise the pattern and relationship in the data without the need for guidance or instructions.

It is important for us to understand how ChatGPT is consumed today, as OpenAI has made available ChatGPT to all users and the bot, therefore, is trained to respond based on the structural study of vast amounts of data residing in massive data stores to which it has access. The responses of ChatGPT are designed to be helpful and informative and are a direct function of its ability to understand natural language inputs from people.  In other words, chatbots like GPT are powered by large amounts of data and computing techniques to make predictions and string words together in a meaningful way. They not only tap into a vast amount of vocabulary and information but also understand words in context. This helps them mimic speech patterns while conveying encyclopedic knowledge.

People all over the world and from various walks of life or age groups or even vastly disparate interests are taking to ChatGPT in multitudes. This is because this app is of undeniable help to them in a variety of ways and rightly so. ChatGPT can be used as a personal assistant to help with tasks such as scheduling appointments, setting reminders, and providing information on various topics. It can be used as a learning tool to help students with homework, provide explanations and details on any available topic, and generate summaries for reading materials. ChatGPT can also be useful for entertainment purposes, such as generating creative writing prompts, engaging in fun conversations, and generating personalized recommendations for books, movies, and music, etc. ChatGPT can be used as a language-learning tool to help with practising conversations, translating text, and learning new vocabulary. Of course, ChatGPT can be used as a productivity tool to help with time management, task prioritization, and goal setting. People can deploy this chatbot for useful issues such as writing resumes, helping in job appraisals, or in preparing topic thesis where complex matters need simplification.

This ability to understand and learn from data makes it useful for generating predictions and forecasts. ChatGPT can be used for predictive modelling in various fields, including finance, healthcare, marketing, and sports. For example, in finance, ChatGPT can be trained to predict stock prices, identify market trends, and forecast economic indicators. In healthcare, ChatGPT can be used to predict disease outbreaks, identify health risks, and forecast patient outcomes. In marketing, ChatGPT can be used to predict customer behaviour, identify market trends, and forecast sales.

With all this, it is helpful to keep in mind certain limitations of ChatGPT and where it can and cannot be used effectively.

To use ChatGPT for predictions, it needs to be trained on relevant datasets and given the necessary inputs and parameters. The accuracy of the predictions is limited to the quality and quantity of the data used for training, as well as the complexity of the problem being solved.  ChatGPT cannot handle reasoning on current events, given that it is trained on data that existed before 2021. OpenAI said in a blog post that the latest iteration “still has many known limitations that we are working to address, such as social biases, hallucinations, and adversarial prompts.” It cannot solve human issues such as emotional ones, or provide real-time communication and help in substituting for a human presence. The software is also programmed to not answer or respond to any queries which violate OpenAI’s use-case policies.

In the coming days, ChatGPT is expected to continue evolving and expanding its capabilities. One direction is towards improving the accuracy and speed of its responses, making it more useful for real-time communication and complex problem-solving. Another direction is towards integrating ChatGPT with other technologies, such as virtual reality and augmented reality, to provide more immersive and interactive experiences. ChatGPT is also expected to play a significant role in various fields, such as healthcare, finance, marketing, and sports, by providing predictive modelling and forecasting capabilities. The evolution and usage of ChatGPT will depend on continued research and development, as well as the adoption and acceptance of its capabilities by various industries and communities.

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