Ever since its release, ChatGPT and OpenAI haven’t lost the spark in its discourse. A huge number of people are using it daily, an enormous amount of teachers are complaining about their students not doing their homework and so much more. Some of us have figured everything about ChatGPT out, whilst some of us, including me, don’t know much about it yet. That is why, I decided to do some research and explore the discourse and here goes all my findings, here are some lesser known facts about ChatGPT.
Fact #1 ChatGPT is a pre-trained generative chatbot
Wasn’t that a no brainer?
ChatGPT is a state-of-the-art language model developed by OpenAI that uses deep learning techniques to generate human-like responses to user queries. It is pre-trained on massive amounts of text data and can understand the nuances of natural language through Natural Language Processing (NLP) algorithms.
As a generative chatbot, ChatGPT is designed to create new responses rather than simply providing pre-programmed answers. This makes it highly adaptable and able to respond to a wide variety of user queries. Additionally, ChatGPT is constantly learning and updating its responses based on new interactions with users, ensuring that it stays up-to-date and relevant.
ChatGPT was specifically created for online customer care, allowing businesses to provide personalised and efficient support to their customers. Its NLP capabilities allow it to understand customer queries and provide helpful responses quickly and accurately. It can also handle multiple requests at once, making it ideal for busy customer support environments.
Fact #2 What is Generative Pre-trained Transformer?
The acronym GPT stands for “Generative Pre-trained Transformer.” This refers to a type of neural network architecture that is used for natural language processing tasks, such as language translation, question answering, and text generation. The transformer architecture was first introduced in a 2017 paper by Vaswani et al. at Google, and has since become a popular choice for NLP tasks due to its high performance and efficiency.
The “generative” part of the acronym refers to the fact that GPT models are capable of generating new text based on the input they receive. This makes them well-suited for tasks like chatbot creation, where the goal is to generate natural-sounding responses to user input.
The “pre-trained” part of the acronym refers to the fact that GPT models are trained on large amounts of text data before being fine-tuned for specific tasks. This pre-training step allows the model to learn a rich understanding of language, which can then be used to generate high-quality responses to user input.
So when we refer to ChatGPT as a “Generative Pre-trained Transformer,” we’re highlighting the fact that it’s a chatbot built using a specific type of neural network architecture that is pre-trained on large amounts of text data, and is capable of generating new text in response to user input.
Fact #3 Microsoft, Khosla Ventures, and Reid Hoffman are investors in OpenAI
OpenAI is the parent company of ChatGPT. OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. OpenAI was founded in December 2015 by several prominent figures in the tech industry, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman, among others.
OpenAI is known for its cutting-edge research in artificial intelligence, particularly in the areas of deep learning and reinforcement learning. The company has developed several notable AI systems, including GPT-2 and GPT-3, which are widely considered to be among the most advanced language models in the world.
Microsoft, Khosla Ventures, and Reid Hoffman are all notable investors in OpenAI. Microsoft, for example, invested $1 billion in OpenAI in 2019 as part of a partnership agreement between the two companies. Reid Hoffman, who co-founded LinkedIn, is also a member of OpenAI’s Board of Directors. Khosla Ventures, meanwhile, is a venture capital firm that has invested in several prominent tech companies, including Square, DoorDash, and Instacart, among others.
Fact #4 ChatGPT gets approximately 10 million queries per day
ChatGPT is a highly popular and widely used chatbot for online customer care, developed by OpenAI. As per reports, ChatGPT receives approximately 10 million queries per day, making it one of the most heavily used chatbots in the industry.
This high volume of user queries is made possible by the powerful Natural Language Processing (NLP) algorithms that ChatGPT uses to interact with users. The NLP technology allows the chatbot to understand user queries in natural language, interpret the intent behind the queries, and generate appropriate responses in real-time.
The high volume of user queries that ChatGPT receives on a daily basis is a testament to the effectiveness of the chatbot in providing customer care services to businesses and organizations. With its ability to handle a large number of queries and provide personalized responses to users, ChatGPT has become a popular choice for businesses looking to improve their customer support services.
Fact #5 Elon Musk was a Co-Founder of ChatGPT
Sam Altman is an entrepreneur and investor who co-founded OpenAI in 2015 alongside Elon Musk, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba. Altman served as the President of startup accelerator Y Combinator before joining OpenAI. At OpenAI, he serves as the CEO and is responsible for leading the company’s mission to develop and promote friendly AI for the betterment of humanity.
Elon Musk was also one of the co-founders of OpenAI, but he stepped down from the company’s board in 2018 due to potential conflicts of interest with his other ventures, such as SpaceX and Tesla. Despite stepping down, Musk has remained a vocal supporter of OpenAI’s mission and has praised the company’s work on multiple occasions.
Fact #6 ChatGPT has a Dataset of 300 billion Words
The dataset size of 300 billion words and 570 GB refers to the size of the text corpus used to train the ChatGPT model. The dataset was compiled from a wide range of sources, including books, websites, and other text-based media.
The large size of the dataset is one of the key factors that contribute to the effectiveness of ChatGPT. The model is trained using a technique known as unsupervised learning, which involves exposing the model to vast amounts of data without any explicit guidance or supervision. The model then learns to identify patterns and structures within the data, which it can use to generate human-like responses to new inputs.
Because ChatGPT has been trained on such a large dataset, it is able to generate responses that are both contextually relevant and linguistically sophisticated. This has made it a popular choice for online customer care, as it is able to provide users with quick and helpful responses to a wide range of queries.
Fact #7 Monthly Cost to Run ChatGPT is Approx. 3 million USD
As an AI language model, ChatGPT is a complex system that requires significant computational resources to operate. According to OpenAI’s blog post in 2021, the cost to run ChatGPT can vary depending on the level of usage and complexity required for specific tasks, but it’s estimated to be around 3 million USD per month.
This cost includes the expenses for servers, electricity, cooling, maintenance, and salaries of engineers and researchers who work on improving the model’s performance and capabilities. As ChatGPT is continually evolving and expanding, the cost to run the model is likely to increase over time.
Fact #8 ChatGPT Doesn’t Only Use RLHF
ChatGPT does not use Reinforcement Learning from Human Feedback (RLHF) as its only training method. Instead, it also uses a combination of unsupervised and supervised learning techniques to train its language model.
The pre-training phase of ChatGPT uses unsupervised learning, where the model is trained on a large corpus of text to learn the statistical patterns and relationships between words and sentences. Specifically, it uses a transformer-based architecture, which allows the model to learn long-term dependencies and capture context across multiple sentences.
The fine-tuning phase of ChatGPT uses supervised learning, where the pre-trained model is fine-tuned on a specific task, such as generating conversational responses in the case of ChatGPT. This fine-tuning process involves feeding the model pairs of conversational turns and training it to generate appropriate responses.
Fact #9 Microsoft Azure Provides Computational Power to ChatGPT
Microsoft Azure is a cloud computing platform and service provided by Microsoft. Azure provides a wide range of cloud services, including virtual machines, databases, analytics, and machine learning tools.
OpenAI, the parent company of ChatGPT, uses Azure to provide the computational power and resources needed for ChatGPT to function. Azure allows OpenAI to quickly and easily scale up or down the resources needed to handle ChatGPT’s traffic, and provides robust security and compliance features to ensure the privacy and security of user data.
By using Azure, OpenAI is able to focus on developing and improving ChatGPT’s natural language processing and conversational abilities, rather than worrying about managing the underlying infrastructure needed to support the service.
What is ChatGPT?
ChatGPT is a pre-trained generative chatbot developed by OpenAI that uses deep learning techniques to generate human-like responses to user queries. It is pre-trained on massive amounts of text data and can understand the nuances of natural language through Natural Language Processing (NLP) algorithms.
What does GPT stand for?
GPT stands for “Generative Pre-trained Transformer.” This refers to a type of neural network architecture that is used for natural language processing tasks, such as language translation, question answering, and text generation.
Who are the investors in OpenAI?
Microsoft, Khosla Ventures, and Reid Hoffman are investors in OpenAI.
How many queries does ChatGPT get per day? Facts About ChatGPT
ChatGPT receives approximately 10 million queries per day.
Who were the co-founders of OpenAI and who is currently the CEO?
The co-founders of OpenAI were Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba. Sam Altman is currently the CEO of OpenAI.