LLM Resources

Webinars

• https://www.youtube.com/watch?v=kH4ZoZSvddM
  Good information on how to detect some common scenarios, they are pushing this library: https://github.com/whylabs/langkit and here is a jupyter notebook about some simple examples: https://colab.research.google.com/drive/1RMjiJK9Nd-tP7kBXo8h9A0vtCCdY1ikS?usp=sharing#scrollTo=7fm-oNxDJNGI

Courses

• https://www.deeplearning.ai/courses/
  This is the main page of the courses offered by Deep Learning, following are a selection of courses I’ve taken and seems appropiate to our work
  

• Functions, Tools and Agents with LangChain
  https://learn.deeplearning.ai/functions-tools-agents-langchain
  Good resource to learn a bit more on langchain and also how the functions works in OpenAI
  

• LLM Evaluation
  https://github.com/anthropics/courses/tree/master/prompt_evaluations
  How to grade LLM results

Email newsletter

• AlphaSignal
  https://alphasignal.ai/
  Daily newsletter with news, papers recommendations, new projects, selection of github repositories and some code examples

• DeepLearning.AI The Batch
  https://www.deeplearning.ai/the-batch/
  News, AI Concepts, explanation of papers, non tech stuff (ethics, impact of the AI) and announcements of new courses