ChatGPT is a language model that uses machine learning to generate natural-sounding responses to user input
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user input:
aportes de los usuarios
. It is a type of AI
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AI:
inteligencia artificial
technology that has been trained
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to train:
adiestrar, enseñar
to generate human-like responses to text inputs. It uses a technology called Natural Language Processing, which allows
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to allow:
permitir
it to understand and generate text in a way that mimics
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to mimic:
imitar
human conversation.
ChatGPT is designed to assist users in a variety of tasks, such as
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such as:
tales como
answering questions, providing information, and engaging
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to engage:
entablar
in conversation. It can be used in a variety of settings
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settings:
escenarios
, such as customer service
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customer service:
atención al cliente
, education, and entertainment.
conversation
To use ChatGPT, users simply need to enter a text input and the model will generate a response. The response will be generated based on the input and the model’s understanding of language and context. For example, if a user were to ask
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if a user were to ask:
si un usuario pregunta
ChatGPT “What is the capital of France?”, the model would generate a response such as “The capital of France is Paris”. ChatGPT is able
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to be able:
ser capaz
to provide this response because it has been trained on a large
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large:
gran
amount
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amount:
cantidad
of text data and has learned the relationship between the words ‘capital’ and ‘France’ and their corresponding value of ‘Paris’.
One of the unique features
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features:
características
of ChatGPT is its ability
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ability:
capacidad
to remember and keep track
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to keep track:
mantener un registro
of previous conversations. This allows it to provide more natural and coherent responses in a conversation, as it can refer back to earlier
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earlier:
previas
statements
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statements:
afirmaciones
and build upon
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build upon:
basarse en
them.
HOW IT WORKS
ChatGPT uses a type of machine learning called Transformer Language Modeling to analyse input text and generate appropriate responses. When given
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When given:
cuando le proporcionan
an input, the chatbot looks for patterns
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patterns:
patrones
in the text that it has been trained on and uses those patterns to generate a response.
The quality of ChatGPT’s responses will depend on the quality and variety of the data it was trained on. The more diverse and comprehensive the training data, the better ChatGPT will be able to understand and generate a wide range
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a wide range:
una amplia gama
of inputs and responses. The specific data that ChatGPT is trained on can vary, but it is typically sourced
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to source:
extraer
from a wide range of sources
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sources:
fuentes
, such as books, articles, websites, and other text-based data. This data is carefully selected and preprocessed to ensure
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to ensure:
asegurar
that it is high-quality and diverse, so that ChatGPT can learn to understand and generate a wide range of inputs and responses.
WHAT WILL THIS MEAN?
AI technology has the potential to revolutionise many industries and improve
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to improve:
mejorar
people’s lives in many ways, and it is an exciting area of research and development. It is unlikely
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unlikely:
improbable
that journalists and copywriters
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copywriters:
redactores creativos
will lose their jobs to AI like ChatGPT in the near future. While language models like ChatGPT are capable of generating text that is similar to human-written content, they are not currently
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currently:
actualmente
advanced enough to fully replace
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to replace:
sustituir
the skills
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skills:
habilidades
and creativity of human writers.
In the future, it is possible that AI technology like ChatGPT could be used to assist human writers by generating initial drafts
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drafts:
borradores
or suggesting ideas, but it is unlikely to replace human writers entirely.
INDISTINGUISHABLE?
It is possible that readers may be able to distinguish texts written by humans from texts generated by ChatGPT, but this will depend on the quality of the generated text and the reader’s ability to detect subtle
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subtle:
sutil
differences in writing style. For example, the generated text may lack
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to lack:
carecer
the variability and nuance
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nuance:
matiz
of human-written text, or it may include repetitions or unnatural-sounding phrases.