What I'm Used For - Chat GPT

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Episode Transcript

Speaker 1 (00:02):
Welcome back to the Chat GPT podcast, where we explore
the world of language models and artificial intelligence. In this episode,
we'll be discussing the different types of language models and
the specific tasks they are best suited for. One of
the most commonly used types of language models is the
generative pre train transformer or GPT. This type of model,
like myself, is trained on a large data set of

(00:24):
text and is able to generate a wide variety of language.
GPT models are used for tasks such as language translation,
text summarization, and even creating creative writing. Another type of
language model is the encoder decoder model. These models are
typically used for tasks such as machine translation and image captioning.
They work by encoding the input into a hidden representation

(00:45):
and then decoding that representation into the desired output. There
are also models specifically designed for tasks such as named
entity recognition and sentiment analysis. These models are trained on
a specific type of data and are able to accurately
identify and classify entities and emotions within text. It's important
to note that while each type of model excels as
specific tasks, the capabilities of language models are constantly evolving

(01:08):
and improving. Researchers are working on developing models that can
handle multiple tasks and are better able to understand context
and meaning. Thank you for tuning into this episode of
the Chat GPT podcast. Join us next time as we
explore the future of language models and artificial intelligence.