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Correcting an AI Overreaction On DeepSeek, and Emphasizing the Importance of Quality

A few weeks back, DeepSeek, China’s new high profile generative AI platform, hit the news with a substantial alleged reduction in training and hardware cost. This had a major adverse impact on NVIDIA’s valuation and Read more…

What Are Reasoning Models and Why You Should Care

The meteoric rise of DeepSeek R-1 has put the spotlight on an emerging type of AI model called a reasoning model. As generative AI applications move beyond conversational interfaces, reasoning models are likely to grow i Read more…

AI Lessons Learned from DeepSeek’s Meteoric Rise

The AI world is still buzzing from last week’s debut of DeepSeek’s reasoning model, which demonstrates category-leading performance at a bargain-basement price. While the details of the Chinese AI developers’ appro Read more…

DeepSeek R1 Stuns the AI World

The AI world has been taken by a storm. China's new open-source reasoning model, the DeepSeek R1, has sparked concerns that advances in AI by Chinese firms could threaten the revenue prospects of tech giants in the West Read more…

This Just In

SiMa.ai Advances Edge AI with Efficient Implementation of DeepSeek R1 Model

Feb 18, 2025 |

SAN JOSE, Calif., Feb. 18, 2025 — SiMa.ai today announced the successful implementation of DeepSeek-R1-Distill-Qwen-1.5B on its ONE Platform for Edge AI, achieving breakthrough performance within an unprecedented power envelope of under 10 watts. Read more…

Lightning AI Brings DeepSeek to Private Enterprise Clouds with AI Hub

Feb 5, 2025 |

NEW YORK, Feb. 5, 2025 — Lightning AI, the company behind PyTorch Lightning and Lightning Studios the AI development platform, today announced the launch of Lightning AI Hub, a platform for deploying enterprise AI applications via no-code APIs that scale automatically with zero setup. Read more…

DeepSeek-R1 models now available on AWS

Jan 30, 2025 |

SEATTLE, Wash., Jan. 30, 2025 — During this past AWS re:Invent, Amazon CEO Andy Jassy shared valuable lessons learned from Amazon’s own experience developing nearly 1,000 generative AI applications across the company. Read more…

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