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GPT-4 is the fourth generation of GPT foundation models, launched in 2023 and capable of taking images as input. It can interact with users through spoken words, respond to images, and perform tasks such as coding and web search with system messages and external interfaces.
GPT stands for generative pre-trained transformer, a type of large language model and a framework for generative artificial intelligence. Learn about the history, characteristics, and applications of GPT models, from GPT-1 to GPT-4 and beyond.
A large language model (LLM) is a neural network that can generate and process natural language. Learn about the origins, features, and applications of LLMs, from transformers to GPT-4.
According to OpenAI, o1 has been trained using a new optimization algorithm and a dataset specifically tailored to it. The training leverages reinforcement learning. [5]o1 spends additional time thinking (generating a chain of thought) before generating an answer, which makes it more effective for complex reasoning tasks, particularly in science and programming. [1]
GPT-4o is a generative pre-trained transformer designed by OpenAI that can process and generate text, images and audio. It was released in May 2024 and has voice-to-voice capabilities, over 50 languages, and a fine-tuning feature for corporate customers.
ChatGPT is a conversational service based on large language models (LLMs) that can perform various tasks such as writing, debugging, translating, and playing games. It was launched in 2022 and became the fastest-growing consumer software application in history, with over 100 million users and a partnership with Apple.
GPT-3 is a decoder-only transformer model of deep neural network that can generate text from various inputs. It has 175 billion parameters, a context window size of 2048 tokens, and can perform many natural language tasks with zero-shot or few-shot learning.
GPT-2 is a generative pre-trained transformer that can perform various natural language tasks such as translation, summarization, and text generation. It was trained on 8 million web pages and released in 2019, but its source code was not made public due to the risk of malicious use.