50+ days of Machine Learning

 Hello :) Today is Day 78! A quick summary of today: Out of the 4 sessions I joined from NVIDIA GTC, the AI careers in Europe one was the most interesting my application and thoughts about Stanford's AI professional certificate program  Research paper about PERL: Parameter Efficient Reinforcement Learning from Human Feedback The 4 sessions that I had marked to join today were 1. Retrieval Augmented Generation: Overview of Design Systems, Data, and Customization 2. Navigating AI Careers in Europe 3. Customizing Foundation Large Language Models in Diverse Languages With NVIDIA NeMo 4. LLM Inference Sizing: Benchmarking End-to-End Inference Systems But besides the 2nd one about AI careers in Europe, the other did not manage to catch my interest. They were talking about research on RAGs, how many GPUs are needed to do LLM inference, based on NeMo which I had not used up until now. Nevertheless, the 2nd talk was very good because I could ask questions to an HR rep. This was the panel in