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A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]
Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [ 1 ] A prompt is natural language text describing the task that an AI should perform. [ 2 ]
In other words, the paper is a rather unsatisfactory read for those interested in the important question of whether generative AI threatens to overwhelm or at least degrade Wikipedia's quality control mechanisms - or whether these handle LLM-generated articles just fine alongside the existing never-ending stream of human-generated vandalism ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Further LLM developments during what has been called an "AI boom" include: local or open source versions of LLaMA which was leaked in March, [52] [53] [54] news outlets report on GPT4-based Auto-GPT that given natural language commands uses the Internet and other tools in attempts to understand and achieve its tasks with unclear or so-far ...
Reddit (/ ˈ r ɛ d ɪ t / ⓘ) is an American social news aggregation, content rating, and forum social network. Registered users (commonly referred to as "Redditors") submit content to the site such as links, text posts, images, and videos, which are then voted up or down ("upvoted" or "downvoted") by other members.
Articles in science outlets like Nature suggest contemporary viral concerns about hypothetical existential risk of AI "plays into the tech companies' agenda" – partly in the form of 'criti-hype' [104] – and that this "hinders effective regulation of the societal harms AI is causing right now" and in the near-future.