Resources

An evolving list of generative AI resources.

• Kaggle 5-day Extensive Course on GenAI
  An extensive course on generative AI from Kaggle, complete with jupyter notebooks. One needs some familiarity with Python / jupyter ecosystem to make the most of it.

• Prompt Engineering Whitepaper from Google
  This whitepaper is part of the day-2 content from the Kaggle course linked above, but it deserves a separate mention of its own. It strikes a good balance between technical details and practical tips of prompt engineering.

• A 3.5-hour deep dive into LLMs (Youtube) from Andrej Karpathy
  Andrej Karpathy (Stanford, OpenAI, Tesla) takes you on a long trip to the nuts and bolts of LLMs.

• Google Colab with builtin Gemini
  Google Colab in an online version of jupyter notebook where you can collaborate easily or share your work, and Gemini is now natively integrated in this app. I'd love to try out how this simplifies data analysis / data science work.

• Effect of Generative AI on Critical Thinking -- Conference paper
  This paper from Microsoft is based on ...