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A very powerful language model called OpenAI Codex was created expressly to generate code in response to natural language commands. It is capable of understanding and producing code in a multitude of areas because it is compatible with a large number of programming languages and libraries.
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.
In 2019, AI Dungeon was launched, which used GPT-2 to generate dynamic text adventures based on user input. [30] AI Dungeon now offers access to the largest release of GPT-3 API as an optional paid upgrade, the free version of the site uses the 2nd largest release of GPT-3. [31]
Creatie.ai curated five of the biggest AI stories in 2024, ... as companies create tools that can write code, generate images, and solve complex problems. ... Features like enhanced photos, text ...
GPT-3 was used by The Guardian to write an article about AI being harmless to human beings. It was fed some ideas and produced eight different essays, which were ultimately merged into one article. [44] GPT-3 was used in AI Dungeon, which generates text-based adventure games. Later it was replaced by a competing model after OpenAI changed their ...
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...
"We don't want the world to just be text. If the AI systems primarily interact with text, I think we're missing something important," OpenAI CEO Sam Altman said in a live-streamed announcement Monday.
[1] [2] It is specialized for use in text editors, as it supports incremental parsing for updating parse trees while code is edited in real time, [3] and provides a built-in S-expression query system for analyzing code. [4] Text editors which have official integrations with Tree-sitter include Atom, [5] GNU Emacs, [6] Neovim, [7] Lapce, [8] Zed ...