A collection of comprehensive, up-to-date, and high-quality educational resources about building AI systems.

Inspired Cognition aims to bring the power of AI to any organization that wants it by streamlining the process of integrating AI into working systems. We have developed this guide to provide resources that are not traditionally available to most organizations: comprehensive, up-to-date, and high-quality educational materials regarding the AI system building process, as well as connections to AI experts who can help you dig deeper.

To connect to our experts and consult about the feasibility of incorporating AI in your own systems, give suggestions for new content, offer to contribute, explore sponsorship opportunities, or ask any other questions, please get in contact!

AI Guide Core Team

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The experts who contributed to this guide include:

  • Graham Neubig: a world-leading AI researcher and educator, particularly in the field of natural language processing. CEO of Inspired Cognition, and also an Associate Professor at Carnegie Mellon University.
  • Pengfei Liu: the author of many high-impact research works on both learning and evaluation methods for natural language processing systems. CSO of Inspired Cognition and post-doctoral fellow at Carnegie Mellon University.
  • Yusuke Oda: an expert in practical deployment of ML systems in industry, with extensive experience in both enterprise and startup contexts. CTO of Inspired Cognition.


We welcome any contributions, please get in touch if you’d like to contribute a guest article or improvements to any existing articles.


Below is a list of references that were used to create this guide.

AI Building

AI Tasks

AI Datasets

AI Evaluation

AI Deployment