DeepSeek employs a strategy called
Reinforcement Learning (RL), which is transforming how AI systems are built. Unlike traditional models that depend heavily on supervised learning strategies, DeepSeek-Learning can solve complex reasoning tasks through interactions where it learns what works best based on feedback received.
This self-evolving behavior allows machines to adapt in ways that mirror human thought processes. RL models have demonstrated superior performance in mathematical and coding tasks, edging out traditional models like OpenAI's o1 in several critical benchmarks. You can learn more about this technique in the research paper by
VentureBeat.