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Where to go from here?

This a collection of resources that may be interesting for you if you want to dive deeper into NLP, LLMs and related topics.

DeepLearning.AI

DeepLearning.AI offers a variety of courses on deep learning. The courses are taught by Andrew Ng, one of the most influential researchers in the field of machine learning and an Adjunct Professor at Stanford University’s Computer Science Department. The courses are available on Coursera and deeplearning.ai.

Their specializations are a great way to deep dive into a specific topic and consist of one or more courses. They require a time commitment of 2-4 months and cost around 40-80€ per month. Here are some of the specializations that may be interesting for you:

They also offer some easily digestable short courses on specific topics. Here are some that some especially interesting as a follow-up to this course:

Microsoft

Microsoft offers a variety of courses on any technology related topic. They also offer some courses on AI and LLMs, mostly related to their own products (e.g. Azure). The courses are available on Microsoft Learn. Here are some of the courses that may be interesting for you:

Google

Also Google has great learning resources available on Google Cloud. Their Generative AI for Developers Learning Path sounds especially interesting.

Podcasts

  • Lex Fridman's Podcast is a podcast about AI, deep learning, science, and technology. He interviews some of the most interesting people in the field of AI and machine learning, like Sam Altman, Andrew Ng, or Yann LeCun.

  • Search and Information Retrieval: Search is a very interesting field of study that is closely related to NLP. It is about finding relevant information in a large corpus of documents. The Introduction to Information Retrieval book written by Stanford University professors is a great resource to learn more about this topic.

  • Healthcare: NLP is also used in healthcare to extract information from medical records, like diagnoses, symptoms, or medications. This information can be used to improve patient care, reduce costs, or predict diseases. The Natural Language Processing in Healthcare course on Coursera is a great resource to learn more about this topic, or more generally, the AI for Medicine Specialization by DeepLearning.AI.

  • Recommendation Systems: Recommendation systems are used to recommend products, movies, or music to users. They are based on the idea that users with similar preferences will also like similar products. The Recommender Systems Specialization by the University of Minnesota is a great resource to learn more about this topic.

  • Legal: NLP is also used in the legal domain to extract information from legal documents, like contracts, or to predict the outcome of a case. Here is a short article about this topic.

Talks and Conferences

...to be continued.