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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/techcrunch.com\/2023\/06\/26\/deepmind-claims-its-next-chatbot-will-rival-chatgpt\/<\/a><\/br> ChatGPT might\u2019ve captured the world\u2019s attention. But DeepMind, the Google-owned research lab, claims that its next large language model will rival \u2014 or even best \u2014 OpenAI\u2019s.<\/p>\n According<\/a> to a piece in Wired, DeepMind is using techniques from AlphaGo<\/a>, DeepMind\u2019s AI system that was the first to defeat a professional human player at the board game Go, to make a ChatGPT-rivaling chatbot called Gemini.<\/p>\n If all goes according to plan, Gemini will have the ability to plan or solve problems as well as analyze text, DeepMind CEO Demis Hassabis told Wired\u2019s Will Knight.<\/p>\n \u201cAt a high level you can think of Gemini as combining some of the strengths of AlphaGo-type systems with the amazing language capabilities of the large models,\u201d Hassabis said. \u201cWe also have some new innovations that are going to be pretty interesting.\u201d<\/p>\n Knight speculates that Gemini, which was briefly teased at Google\u2019s I\/O developer conference in May, will leverage innovations in reinforcement learning to accomplish tasks with which today\u2019s language models struggle. Reinforcement learning involves \u201crewarding\u201d an AI system for certain behaviors and\/or punishing undesired ones, with the goal of \u201cteaching\u201d the system which behaviors to exhibit in a given situation.<\/p>\n As Knight notes, reinforcement learning has already led to gains in the language model space \u2014 it\u2019s key to the way systems such as ChatGPT respond to prompts. DeepMind, having a wealth of experience in reinforcement learning (AlphaGo being one example), is no doubt eager to apply its learnings to the generative AI domain.<\/p>\n It\u2019s worth noting that Gemini isn\u2019t DeepMind\u2019s first foray into language models. Last year the company introduced Sparrow, a chatbot that the lab claimed was less likely than other language models to give \u201cunsafe\u201d or \u201cinappropriate\u201d answers to questions. Hassabis told Time in January that DeepMind would consider releasing Sparrow for a private beta sometime this year; it\u2019s unclear whether those plans are still on track.<\/p>\n Gemini is, however, DeepMind\u2019s most ambitious work in the space so far, at least if early reports are to be believed. The Information reported<\/a> in March that Gemini \u2014 which was spurred by the failures of Bard, Google\u2019s chatbot project \u2014 to keep pace with ChatGPT, has direct participation from Google higher-ups, including Jeff Dean, the company\u2019s most senior AI research executive.<\/p>\n The race for dominance in the generative AI space comes amid sky-high investor \u2014 and customer \u2014 enthusiasm. According<\/a> to Grand View Research, the market for generative AI \u2014 including text-analyzing AI like Gemini \u2014 could reach $109.37 billion by 2030, an increase of 35.6% from 2030.<\/p>\n<\/p><\/div>\n <\/br><\/br><\/br><\/p>\n
\nDeepMind claims its next chatbot will rival ChatGPT<\/br>
\n2023-06-26 21:39:40<\/br><\/p>\n