Proceso de debate y consulta del Plan de Derechos Humanos de Cataluña

#ÀgoraDeDrets Queremos que la ciudadanía nos de su opinión su respeto a las medidas propuestas para cada uno de los derechos humanos que conforman el plan

Fase 1 de 1

Introducción 06/06/2019 - 31/07/2019

Fases del proceso

Cambios en "ChatGPT: The Revolutionary AI Language Model from OpenAI"

Comparar el modo de visualización:

Título

+{"ca"=>"ChatGPT: The Revolutionary AI Language Model from OpenAI"}

Cuerpo

+["In the world of Artificial Intelligence (AI), OpenAI has been at the forefront of delivering some of the most promising and game-changing technologies for a while now. Recently, OpenAI unveiled their latest AI model, ChatGPT, which is built on Generative Pretrained Transformer (GPT) architecture. This model has created a significant buzz in the AI and tech community due to its outstanding natural language processing (NLP) capabilities. In this blog post, we'll explore what makes ChatGPT different from other AI chatbots and how this revolutionary model can shape the future of the NLP domain.\n\nWebsite: https://chatgptonline.io/\n\nChatGPT is a breakthrough in the field of AI research, thanks to its ability to comprehend and respond to human language naturally. Unlike other AI language models that rely on a rule-based system to generate responses, ChatGPT uses machine learning to understand the context in which the conversation is taking place. It has undergone extensive training on a large dataset of human language, which not only allows it to articulate responses but also to replicate how humans converse with each other. This has given the model an edge over other counterparts, making it a powerful tool for understanding and processing natural language.\n\nThe GPT architecture is responsible for making ChatGPT such a groundbreaking AI model. The architecture features a transformer model, which is a neural network that can process a large amount of data in parallel for improved training efficiency. Coupled with GPT's unsupervised learning system, which allows the model to learn from vast amounts of data without human intervention, ChatGPT becomes an automatic problem solver that drastically reduces the time and resources needed to train it.\n\nA critical feature of ChatGPT is its ability to solve language-related tasks such as generating text, answering questions, summarizing text, completing sentences, and even composing poetry. With this model, developers can use natural language inputs to build intelligent chatbots and virtual assistants capable of handling complex queries, thus improving the user experience. Moreover, researchers can generate more coherently written research papers, and marketers can generate more website content.\n\nAs mentioned earlier, ChatGPT is different from other AI language models because it can mimic human-like conversation. This implies that it understands linguistics cues such as sarcasm, context, and implied meanings. Traditional chatbots usually lack the ability to understand these cues as they rely too heavily on pre-programmed rules. With ChatGPT, more intricate conversations can be built with the added advantage of detecting mood and predicting user needs, making it an irreplaceable tool for expanding conversational AI possibilities.\ngid://decidim-barcelona-organizations/Decidim::Hashtag/37/_ÀgoraDeDrets gid://decidim-barcelona-organizations/Decidim::Hashtag/38/_ÀgoraVirtual"]

+["In the world of Artificial Intelligence (AI), OpenAI has been at the forefront of delivering some of the most promising and game-changing technologies for a while now. Recently, OpenAI unveiled their latest AI model, ChatGPT, which is built on Generative Pretrained Transformer (GPT) architecture. This model has created a significant buzz in the AI and tech community due to its outstanding natural language processing (NLP) capabilities. In this blog post, we'll explore what makes ChatGPT different from other AI chatbots and how this revolutionary model can shape the future of the NLP domain.\n\nWebsite: https://chatgptonline.io/\n\nChatGPT is a breakthrough in the field of AI research, thanks to its ability to comprehend and respond to human language naturally. Unlike other AI language models that rely on a rule-based system to generate responses, ChatGPT uses machine learning to understand the context in which the conversation is taking place. It has undergone extensive training on a large dataset of human language, which not only allows it to articulate responses but also to replicate how humans converse with each other. This has given the model an edge over other counterparts, making it a powerful tool for understanding and processing natural language.\n\nThe GPT architecture is responsible for making ChatGPT such a groundbreaking AI model. The architecture features a transformer model, which is a neural network that can process a large amount of data in parallel for improved training efficiency. Coupled with GPT's unsupervised learning system, which allows the model to learn from vast amounts of data without human intervention, ChatGPT becomes an automatic problem solver that drastically reduces the time and resources needed to train it.\n\nA critical feature of ChatGPT is its ability to solve language-related tasks such as generating text, answering questions, summarizing text, completing sentences, and even composing poetry. With this model, developers can use natural language inputs to build intelligent chatbots and virtual assistants capable of handling complex queries, thus improving the user experience. Moreover, researchers can generate more coherently written research papers, and marketers can generate more website content.\n\nAs mentioned earlier, ChatGPT is different from other AI language models because it can mimic human-like conversation. This implies that it understands linguistics cues such as sarcasm, context, and implied meanings. Traditional chatbots usually lack the ability to understand these cues as they rely too heavily on pre-programmed rules. With ChatGPT, more intricate conversations can be built with the added advantage of detecting mood and predicting user needs, making it an irreplaceable tool for expanding conversational AI possibilities.\ngid://decidim-barcelona-organizations/Decidim::Hashtag/37/_ÀgoraDeDrets gid://decidim-barcelona-organizations/Decidim::Hashtag/38/_ÀgoraVirtual"]

Supresiones

Adiciones

+["In the world of Artificial Intelligence (AI), OpenAI has been at the forefront of delivering some of the most promising and game-changing technologies for a while now. Recently, OpenAI unveiled their latest AI model, ChatGPT, which is built on Generative Pretrained Transformer (GPT) architecture. This model has created a significant buzz in the AI and tech community due to its outstanding natural language processing (NLP) capabilities. In this blog post, we'll explore what makes ChatGPT different from other AI chatbots and how this revolutionary model can shape the future of the NLP domain.\n\nWebsite: https://chatgptonline.io/\n\nChatGPT is a breakthrough in the field of AI research, thanks to its ability to comprehend and respond to human language naturally. Unlike other AI language models that rely on a rule-based system to generate responses, ChatGPT uses machine learning to understand the context in which the conversation is taking place. It has undergone extensive training on a large dataset of human language, which not only allows it to articulate responses but also to replicate how humans converse with each other. This has given the model an edge over other counterparts, making it a powerful tool for understanding and processing natural language.\n\nThe GPT architecture is responsible for making ChatGPT such a groundbreaking AI model. The architecture features a transformer model, which is a neural network that can process a large amount of data in parallel for improved training efficiency. Coupled with GPT's unsupervised learning system, which allows the model to learn from vast amounts of data without human intervention, ChatGPT becomes an automatic problem solver that drastically reduces the time and resources needed to train it.\n\nA critical feature of ChatGPT is its ability to solve language-related tasks such as generating text, answering questions, summarizing text, completing sentences, and even composing poetry. With this model, developers can use natural language inputs to build intelligent chatbots and virtual assistants capable of handling complex queries, thus improving the user experience. Moreover, researchers can generate more coherently written research papers, and marketers can generate more website content.\n\nAs mentioned earlier, ChatGPT is different from other AI language models because it can mimic human-like conversation. This implies that it understands linguistics cues such as sarcasm, context, and implied meanings. Traditional chatbots usually lack the ability to understand these cues as they rely too heavily on pre-programmed rules. With ChatGPT, more intricate conversations can be built with the added advantage of detecting mood and predicting user needs, making it an irreplaceable tool for expanding conversational AI possibilities.\ngid://decidim-barcelona-organizations/Decidim::Hashtag/37/_ÀgoraDeDrets gid://decidim-barcelona-organizations/Decidim::Hashtag/38/_ÀgoraVirtual"]

Supresiones

Adiciones

+["In the world of Artificial Intelligence (AI), OpenAI has been at the forefront of delivering some of the most promising and game-changing technologies for a while now. Recently, OpenAI unveiled their latest AI model, ChatGPT, which is built on Generative Pretrained Transformer (GPT) architecture. This model has created a significant buzz in the AI and tech community due to its outstanding natural language processing (NLP) capabilities. In this blog post, we'll explore what makes ChatGPT different from other AI chatbots and how this revolutionary model can shape the future of the NLP domain.\n\nWebsite: https://chatgptonline.io/\n\nChatGPT is a breakthrough in the field of AI research, thanks to its ability to comprehend and respond to human language naturally. Unlike other AI language models that rely on a rule-based system to generate responses, ChatGPT uses machine learning to understand the context in which the conversation is taking place. It has undergone extensive training on a large dataset of human language, which not only allows it to articulate responses but also to replicate how humans converse with each other. This has given the model an edge over other counterparts, making it a powerful tool for understanding and processing natural language.\n\nThe GPT architecture is responsible for making ChatGPT such a groundbreaking AI model. The architecture features a transformer model, which is a neural network that can process a large amount of data in parallel for improved training efficiency. Coupled with GPT's unsupervised learning system, which allows the model to learn from vast amounts of data without human intervention, ChatGPT becomes an automatic problem solver that drastically reduces the time and resources needed to train it.\n\nA critical feature of ChatGPT is its ability to solve language-related tasks such as generating text, answering questions, summarizing text, completing sentences, and even composing poetry. With this model, developers can use natural language inputs to build intelligent chatbots and virtual assistants capable of handling complex queries, thus improving the user experience. Moreover, researchers can generate more coherently written research papers, and marketers can generate more website content.\n\nAs mentioned earlier, ChatGPT is different from other AI language models because it can mimic human-like conversation. This implies that it understands linguistics cues such as sarcasm, context, and implied meanings. Traditional chatbots usually lack the ability to understand these cues as they rely too heavily on pre-programmed rules. With ChatGPT, more intricate conversations can be built with the added advantage of detecting mood and predicting user needs, making it an irreplaceable tool for expanding conversational AI possibilities.\ngid://decidim-barcelona-organizations/Decidim::Hashtag/37/_ÀgoraDeDrets gid://decidim-barcelona-organizations/Decidim::Hashtag/38/_ÀgoraVirtual"]

Número de versión 1 de 1 Mostrar todas las versiones Volver a la propuesta

Autoría de la versión

ChatGPT Online

Versión creada el 14/04/2023 09:52