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GPT-3, specifically the Codex model, is the basis for GitHub Copilot, a code completion and generation software that can be used in various code editors and IDEs. [38] [39] GPT-3 is used in certain Microsoft products to translate conventional language into formal computer code. [40] [41]
v. t. e. Original GPT model. Generative pre-trained transformers (GPTs) are a type of large language model (LLM) [1][2][3] and a prominent framework for generative artificial intelligence. [4][5] They are artificial neural networks that are used in natural language processing tasks. [6] GPTs are based on the transformer architecture, pre ...
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]
Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing, machine translation, and natural language generation and can be used as foundation models for other tasks. [46]
As of June 2024, The Instruction fine tuned variant of the Llama 3 70 billion parameter model is the most powerful open LLM according to the LMSYS Chatbot Arena Leaderboard, being more powerful than GPT-3.5 but not as powerful as GPT-4. [17] As of 2024, the largest and most capable models are all based on the Transformer architecture.
OpenAI stated that GPT-3 succeeded at certain "meta-learning" tasks and could generalize the purpose of a single input-output pair. The GPT-3 release paper gave examples of translation and cross-linguistic transfer learning between English and Romanian, and between English and German. [163] GPT-3 dramatically improved benchmark results over GPT-2.
OpenAI's GPT-4 model was released on March 14, 2023. Observers saw it as an impressive improvement over GPT-3.5, with the caveat that GPT-4 retained many of the same problems. [88] Some of GPT-4's improvements were predicted by OpenAI before training it, while others remained hard to predict due to breaks [89] in downstream scaling laws.
DALL·E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL·E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]