Natural language processing (NLP), while hardly a new discipline, has catapulted into the public consciousness these past few months thanks in large part to the generative AI hype train that is ChatGPT. Alongside other NLP models such as Hugging Face’s Transformers and Google’s LaMDA, which is set to power its ChatGPT-rival Bard, there’s a palpable feeling that AI’s arrival into the mainstream is almost here.
But for those punching a few keywords into ChatGPT to make it create lyrics in the style of Nick Cave, it’s easy to overlook all the work that goes into …
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