Andrej Karpathy's recommended paper reading list, covering various aspects of Language Models (LLMs), including attention mechanisms, unsupervised multi-task learning (GPT-2), instruction-following language models (InstructGPT), LLaMA, reinforcement learning from human feedback (RLAIF), and early experiments of GPT-4, offering insights into significant research developments in LLM and their role in AI landscape, benefiting both novice and experienced AI enthusiasts.
"Refreshing my understanding of deep learning as a "stack of data transformations" is incredibly powerful. It's like a sequence of layers, each layer transforming the input data into something more abstract and informative. This perspective makes it easier to understand how neural networks process information."
