Summary
This blog post discusses how DeepSeek, a Chinese AI company, developed their open-source large language model (LLM) DeepSeek-R1 using reinforcement learning techniques. It outlines the phases of LLM creation, focusing on data collection, model selection, training, and reinforcement learning from human feedback, setting it apart from traditional methods. The post emphasizes the cost-efficiency and performance benefits of this approach, showcasing the advancements DeepSeek-R1 offers compared to established models like those from OpenAI and Meta.