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On December 23, 2022, You.com was the first search engine to launch a ChatGPT-style chatbot with live web results alongside its responses. [25] [26] [12] Initially known as YouChat, [27] the chatbot was primarily based on the GPT-3.5 large language model and could answer questions, suggest ideas, [28] translate text, [29] summarize articles, compose emails, and write code snippets, while ...
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They said that GPT-4 could also read, analyze or generate up to 25,000 words of text, and write code in all major programming languages. [201] Observers reported that the iteration of ChatGPT using GPT-4 was an improvement on the previous GPT-3.5-based iteration, with the caveat that GPT-4 retained some of the problems with earlier revisions. [202]
Gemini's launch was preluded by months of intense speculation and anticipation, which MIT Technology Review described as "peak AI hype". [45] [20] In August 2023, Dylan Patel and Daniel Nishball of research firm SemiAnalysis penned a blog post declaring that the release of Gemini would "eat the world" and outclass GPT-4, prompting OpenAI CEO Sam Altman to ridicule the duo on X (formerly Twitter).
In June 2022, it was made public that a chat bot named "GPT-4chan" was trained by Yannic Kilcher, a machine learning expert, using 134.5 million /pol/ posts. He allowed ten such bots to post on /pol/ without restriction for two periods of 24 hours, mimicking human users.
Human feedback is commonly collected by prompting humans to rank instances of the agent's behavior. [13] [15] [16] These rankings can then be used to score outputs, for example, using the Elo rating system, which is an algorithm for calculating the relative skill levels of players in a game based only on the outcome of each game. [3]
Google Chat is a communication service developed by Google.Initially designed for teams and business environments, it has since been made available for general consumers. It provides direct messaging, group conversations, and spaces, which allow users to create and assign tasks and share files in a central place in addition to chatti
Llama 1 models are only available as foundational models with self-supervised learning and without fine-tuning. Llama 2 – Chat models were derived from foundational Llama 2 models. Unlike GPT-4 which increased context length during fine-tuning, Llama 2 and Code Llama - Chat have the same context length of 4K tokens. Supervised fine-tuning ...
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