DeepSeek Revolutionizes AI with Open Large Language Models ...
The February issue of IEEE Spectrum introduces DeepSeek's groundbreaking open reasoning model that significantly reduces costs associated with AI reasoning. DeepSeek's latest Large Language Models (LLMs) are making waves in the AI industry by offering top-tier performance at a fraction of the cost compared to competitors like OpenAI and Anthropic.
Open Large Language Models by DeepSeek
DeepSeek, a Chinese company, unveiled two open-source LLMs - DeepSeek-V3 and DeepSeek-R1 - in December 2024, allowing free access and modification to users. The release of a free chatbot app in January further solidified DeepSeek's position in the AI market, quickly becoming a popular choice on Apple's app store.
Despite facing hardware restrictions due to U.S. export controls on Nvidia chips, DeepSeek managed to train their DeepSeek-V3 model using the less powerful H800 chips, resulting in significant cost savings. By employing innovative techniques like the "DualPipe" parallelism algorithm and a "mixture-of-experts" architecture, DeepSeek-V3 boasts an impressive 671 billion parameters, rivaling even the most advanced closed models from competitors.
Revolutionizing Reasoning Models
DeepSeek's DeepSeek-R1 reasoning model offers chain-of-thought reasoning capabilities comparable to leading closed models like OpenAI's o1. By leveraging reinforcement learning over traditional supervised fine-tuning methods, DeepSeek-R1-Zero overcame challenges like language mixing to deliver enhanced reasoning abilities.
Addressing concerns about model transparency, DeepSeek provides access to their models under a permissive license, allowing for free download, usage, and modification. Additionally, distilled versions of their models cater to users with less powerful devices, ensuring accessibility across various platforms.
Advancing Open-Source Initiatives
While DeepSeek's models raise questions about transparency, platforms like HuggingFace are striving to create fully open-source versions to unravel the mystery behind DeepSeek's model training. Through initiatives like Open-R1, the AI community aims to enhance accessibility and understanding of these innovative models.
Despite the ongoing discussions about model transparency, the impact of DeepSeek's advancements extends far beyond the AI community, garnering attention from researchers, engineers, companies, and non-technical individuals alike.
Follow the progress of Open-R1 on HuggingFace and Github.
