Why Language Technology?

Human Language technology is undergoing a significant transformation.

The field is no longer a niche academic field and is making a significant impact on day-to-day life. Language technology increasing international trade thanks to neural machine translation, lets anyone quickly prototype their unique language application with a no-code tool like GPT-3, allows you to use powerful off-the-shelf named entity recognizers to parse receipts, and so on.

Human Language Technology
Is it all Hype? The NLP Applications edition
This is a guest post written by BowTiedBear. I want to thank Hal for the invitation. My guest posts on the substack of BowTied_Raptor took a look at the reality of AI in the broader world LINK. In this post, I want to outline what I have experienced specifically for NLP applications…
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How can you benefit from this transformation?

The number of machine learning engineer jobs are increasing at an exponential rate since 2014. These jobs are very well paid (30% better paid than software engineering jobs). They are also a lot of fun as they are quite in-disciplinary and let you be on the cutting edge of computer science.

Doing Natural Language Processing sets you apart from the rest of your colleagues. You will be at the front of the AI transformation that is happening today. There is also a shortage of NLP experts in the field.

I will teach you how to master this technology in this newsletter. I have 5+ years of experience in this field spanning both top academic institutions and top industrial FAANG research labs. After reading this newsletter you will learn natural language processing, will get a high-paying NLP job, and learn to build NLP SaaS.

machine learning engineer
Job Trends for Machine Learning Engineers


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Human Language Technology is a reader-supported publication about AI and Natural Language Processing. To receive new posts and support my work, consider becoming a paid subscriber.

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