OpenAI and ChatGPT

OpenAI was established as an AI research laboratory. It consisted of OpenAI LP for profit, and its parent company OpenAI Inc. It was founded in 2015. The Board consisted of Elon Musk, Sutskever, Brockman, Blackwell, Chenung, Karpathy, Kingma, Schulman, Vagata, Zaremba and Sam Altman. In 2019, Open AI converted itself from non-profit to ‘capped’ for profit, with profit capped at 100 times any investment. Microsoft provided OpenAI LP with $1 billion investment in 2019, and a further $10 billion investment in 2023.

OpenAI’s notable achievement is the development of GPT series which display an evolution of AI. It is a pathbreaking work, and it continues to revolutionalize AI.

GPT stands for Generative Pre-trained Transformer, a language model which vests systems with intelligence and is used in products such as ChatGPT. GPT models have the capability to generate human-like text and content. ChatGPT is a chatbot released towards the end of November, 2022. Here ‘chat’ refers to chatbot functionality and GPT to Generative Pre-trained Transformer. GPT is a type of large language model (LLM). It is a task-specific GPT that was fine-tuned to target conversational usage. It has been built upon GPT-3 model’s later version GPT-3.5.

ChatGPT works in response to a prompt. It has to understand the prompt. It then produces strings of words which predict best answer to a query asked. Of course, the answer is based on the data it was trained on.

One important thing. ChatGPT’s objective is to be predictive. It predicts the next word in a sentence. (This of course it has learnt on the gigabytes of text data it has been trained on).

A prompt or a query takes through the AI model, and produces a response. It matches the information in the prompt or query and the vast amount of training data.

ChatGPT has varied applications. It, however, excels in natural language processing (NLP) including translation, summarization and question answering. It could be used for generative tasks — text completion, text generation and conversation generation. It can be used for customer service, medical transcription, patient triage.

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