While DeepSeek can point to common benchmark results and Chatbot Arena leaderboard to prove the competitiveness of its model, there's nothing like direct use cases to get a feel for just how useful a new model is.
Are DeepSeek V3 and R1 the next big things in AI? How this Chinese open-source chatbot outperformed some big-name AIs in coding tests, despite using vastly less infrastructure than its competitors.
You can use DeepSeek R1 and DeepSeek V3 for free on this website: <a href=" DeepSeek R1 should only be activated for questions that require thinking or reasoning. If you don't activate the button, it will use DeepSeek V3 which is useful for every day questions.
Deepseek R1 just dropped, and it’s shaking up the AI world in a way we haven’t seen since the launch of ChatGPT. In this video, I’ll break it down in the simplest way possible—especially if you're new to AI.
B AI model on its wafer-scale processor, delivering 57x faster speeds than GPU solutions and challenging Nvidia's AI chip dominance with U.S.-based inference processing.
Development on the first DeepSeek R1 clone might have started with the announcement of the Open-R1 open-source project.
AWS partners with DeepSeek to add the AI startup’s R1 foundational model to its GenAI technology inside Amazon Bedrock and SageMaker solutions.
The DeepSeek R1 developers relied mostly on Reinforcement Learning (RL) to improve the AI’s reasoning abilities. This training method uses a reward system to provide feedback to the AI, which made DeepSeek R1 cheaper to train than ChatGPT o1.
DeepSeek is a Chinese artificial intelligence provider that develops open-source LLMs. R1, the latest addition to the company’s model lineup, debuted last week. The release of the LLM caused a broad selloff in AI stocks that sent Nvidia Corp.’s shares plummeting 17% on Monday, along with many other technology stocks.
Huawei announced that the distilled R1 AI model will be available via its ModelArts Studio which uses Ascend GPUs.
Hugging Face developers are working to reconstruct Deepseek-R1 from scratch; Open-R1 will be 100% open source.