llms post
continuous-integration/drone/push Build is passing Details

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James Ravenscroft 2023-03-25 16:51:24 +00:00
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Photo by <a href="">Raphael Schaller</a> on <a href="https://unsplash.com/photos/GkinCd2enIY?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
{{<figure src="images/language.jpg" caption="Typesetting blocks form alphabet spaghetti a bit like a language model might spit out<a href='https://unsplash.com/@raphaelphotoch?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText'>Raphael Schaller</a>">}}
{{<figure src="images/language.jpg" caption="Typesetting blocks form alphabet spaghetti a bit like a language model might spit out. Photo by <a href='https://unsplash.com/@raphaelphotoch?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText'>Raphael Schaller</a> on <a href='https://unsplash.com/photos/GkinCd2enIY?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText'>Unsplash</a>">}}
There is sooo much hype around LLMs at the moment. As an NLP practitioner of 10 years (I built [^Partridge] in 2013), it's exhausting and quite annoying and amongst the junior ranks, there's a lot of despondency and dejection [^aromatic_eye_6268ShouldSpecializeNLP2023] and a feeling of "what's the point? ~~Closed~~OpenAI have solved NLP".