Incorporating reinforcement learning with human feedback into NLP at a massive scale.

A visual and simplified exploration of the Transformer model in machine learning.

Taught by one of the most influential (and most down-to-earth) researcher, Christopher Manning, this is must-take course for anyone interested in natural language processing. The course is well organized, well taught, and up-to-date with the latest NLP research.

The blog of Hugging Face, a leading open-source platform for machine learning (ML) and natural language processing (NLP) that provides a suite of tools, libraries, and models. It is best known for its Transformers library, which simplifies the implementation of state-of-the-art NLP models like GPT, BERT, and T5. Hugging Face offers easy access to pre-trained models for tasks such as text classification, text generation, translation, and more.

Annotated version of a transformer with comments adds explanation to the model architecture.

Microsoft certification covering fundamental AI concepts. This certification covers AI workloads and considerations, fundamental principles of machine learning on Azure, features of computer vision workloads on Azure, NLP workloads on Azure and generative AI.