🚨DeepSeek: The ChatGPT Challenger You Need to Know About
Artificial Intelligence is constantly evolving. New LLMs are being released daily, but only a minority are making breakthroughs. DeepSeek is one of them.
DeepSeek represents a notable step forward in this field, offering a series of models designed to enhance reasoning capabilities in large language models (LLMs).
The foundation of this work is DeepSeek-R1-Zero, the initial model in the series. It was trained using large-scale reinforcement learning (RL) without any supervised fine-tuning (SFT). This direct application of RL enabled the model to develop reasoning behaviors such as self-verification, reflection, and chain-of-thought (CoT) problem-solving. However, limitations such as repetitive outputs and occasional language inconsistencies highlighted areas for improvement.
The next iteration, DeepSeek-R1, addresses these challenges by incorporating a cold-start data phase before RL training. This adjustment improved performance across tasks like math, coding, and reasoning, bringing the model closer to the benchmarks set by OpenAI-o1.
DeepSeek rattled the global tech landscape with its low-cost AI chatbot. Its arrival poses a serious challenge to industry-leading AI models in the US, given the fact that it does it at a fraction of the cost.
DeepSeek's breakthrough has people questioning the worth of industry leaders like OpenAI. Silicon Valley venture capitalist Marc Andreessen didn't mince words, calling DeepSeek's R1 model AI's "Sputnik moment."
The comparison hits home—just as the Soviet Union's Sputnik launch kicked off the space race in the 1950s, DeepSeek's breakthrough could reshape the AI landscape.
But one thing's clear. DeepSeek's new models have turned up the heat in the AI race. They've raised hard questions about whether US companies can keep their edge as the landscape shifts beneath their feet. For now, DeepSeek has everyone talking about what comes next for AI.