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 {{<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 [^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". 
+There is sooo much hype around LLMs at the moment. As an NLP practitioner of 10 years (I built Partridge [^Partridge] in 2013), it's exhausting and quite annoying and amongst the junior ranks, there's a lot of despondency and dejection and a feeling of "what's the point? ~~Closed~~OpenAI have solved NLP". 
 
 
 Well, I'm here to tell you that NLP is more than just LLMs and that there are plenty of opportunities to get into the field. What's more, there are plenty of interesting, ethical use cases that can benefit society. In this post I will describe a number of opportunities for research and development in NLP that are unrelated or tangential to training bigger and bigger transformer-based [^vaswaniAttentionAllYou] LLMs.
 
+This post is based on a comment I made on a reddit thread [^aromatic_eye_6268ShouldSpecializeNLP2023] covering "should I study NLP?" 
 
 
 ## Combatting Hallucination