50+ days of Machine Learning

 Hello :) Today is Day 132! A quick summary of today: last night was the final day 4 of MLxFundamentals covered lecture 26 : fairness from Stanford's CS109 Schedule was (time is in BST): The practical session on GenAI (Vision&NLP) was too late for my local time so I will rewatch the recording and share about it in tomorrow's post. Firstly, Meng Fang from the University of Liverpool The lecture was a general intro to LLMs Examples for coding, art, Q&A. Then talked about GPT, and the transformer architecture.  Then, some prompt engineering strategies (zero-shot, few-shot, chain-of-thought, self consistency) Then, a brief intro to retrieval-based models. It was mostly based on the ACL 2023 talk which I covered around Day 74 . Finally, language agents. It was a lot of content for just 2 hours, but it was a nice overview. Secondly, about CS109 Lecture 26 on Fairness: Professor Piech introduced the topic of fair AI, and how we need to be aware of the problems it can cause if