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Pre-trained language models of GPT1 GPT2 and GPT3

The Generative Pre-trained Transformer (GPT) family is a series of very powerful pre-trained language models proposed by OpenAI that can achieve stunning results in very complex NLP tasks, such as article generation, code generation, machine translation, Q&A, etc., without the need for supervised learning for model fine-tuning.

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TRANSFORMER Graph Neural Network

TRANSFORMER is an increasingly popular neural network architecture. Recently, OpenAI has used Transformer in their ChatGPT language model and DeepMind has used it in the AlphaStar program. In this paper, we explain how this architecture works in detail.

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ChatGPT and InstructGPT Explained

GPT series is a series of pre-trained models of OpenAI. The full name of GPT is Generative Pre-Trained Transformer, as the name implies, the purpose of GPT is to use pre-training techniques to get a generic text model by Transformer as the base model.

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OpenAI VP demystifies ChatGPT

GPT-3 is a major milestone in OpenAI's product history and the cornerstone of its Codex (or Github CoPilot) and ChatGPT applications (ChatGPT is based on GPT-3, an enhanced version of GPT-3.5). GPT-3 is a large language model that is trained to predict the next word in a given context, using the Transformer architecture.

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20 Application Scenarios for ChatGPT

ChatGPT, an AI technology-driven natural language generative chatbot released by OpenAI, is taking the world by storm - what can we do with it? Some application scenarios are cited below.

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How Face ID is implemented

In 2017, Apple introduced Face ID to improve security for the broader smartphone industry. face ID is so convenient to unlock that it requires no movement, lifting your hand to unlock in seconds, and the whole process is very natural. What's more, Face unlock is more secure than fingerprint unlock!

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