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.
Combined with the growing trend of multimodality, or models that combine language, image, and other types of capabilities, we may see a trend of AI models operating more like a committee of different components rather than a monolithic block. This approach actually has many conceptual similarities to a set of interesting ideas described by Marvin Minsky and Seymour Paypert from the early days of AI.
