I have an internship coming up this summer as an AI research intern and was wondering what the best recommended resources are for a beginners to get familiar with AI and LLMs.
The position didn’t require any background knowledge/experience with AI specifically as I will be learning throughout but I want to get ahead before I start.
The research team will be involved in working with AI/LLM and storage systems (i.e, optimizing storage for AI workloads, working with file systems and storage devices like SSD/NVMes). I’m told it is a good idea to start understanding file systems and LLM processing, such as, metadata layout, LLM inference flow, etc.
What kind of resources are best recommended for a beginner like myself to wrap my head around these kinds of concepts?
submitted by /u/ResidentMorning to r/learnmachinelearning
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