Latest News

Video world models, which predict future frames conditioned on actions, hold immense promise for artificial intelligence, enabling agents to plan and reason in dynamic environments. Recent advancements, particularly with video diffusion models, have shown impressive capabilities in generating realistic future sequences. However, a significant bottleneck remains:maintaining long-term memory.Current models struggle to remember events and states […]

A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI Architectures.” This follow-up to their initial technical report delves into the intricate relationship between large language model (LLM) development, training, and the underlying hardware

A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI Architectures.” This follow-up to their initial technical report delves into the intricate relationship between large language model (LLM) development, training, and the underlying hardware

A newly released 14-page technical paper from the team behind DeepSeek-V3, with DeepSeek CEO Wenfeng Liang as a co-author, sheds light on the “Scaling Challenges and Reflections on Hardware for AI Architectures.” This follow-up to their initial technical report delves into the intricate relationship between large language model (LLM) development, training, and the underlying hardware

DeepSeek AI has announced the release of DeepSeek-Prover-V2, a groundbreaking open-source large language model specifically designed for formal theorem proving within the Lean 4 environment. This latest iteration builds upon previous work by introducing an innovative recursive theorem-proving pipeline, leveraging the power of DeepSeek-V3 to generate its own high-quality initialization data. The resulting model achieves

DeepSeek AI has announced the release of DeepSeek-Prover-V2, a groundbreaking open-source large language model specifically designed for formal theorem proving within the Lean 4 environment. This latest iteration builds upon previous work by introducing an innovative recursive theorem-proving pipeline, leveraging the power of DeepSeek-V3 to generate its own high-quality initialization data. The resulting model achieves

DeepSeek AI has announced the release of DeepSeek-Prover-V2, a groundbreaking open-source large language model specifically designed for formal theorem proving within the Lean 4 environment. This latest iteration builds upon previous work by introducing an innovative recursive theorem-proving pipeline, leveraging the power of DeepSeek-V3 to generate its own high-quality initialization data. The resulting model achieves

The remarkable success of OpenAI’s o1 series and DeepSeek-R1 has unequivocally demonstrated the power of large-scale reinforcement learning (RL) in eliciting sophisticated reasoning behaviors and significantly enhancing the capabilities of large language models (LLMs). However, the core training methodologies behind these groundbreaking reasoning models often remain veiled in their technical reports. Recent community efforts have

The remarkable success of OpenAI’s o1 series and DeepSeek-R1 has unequivocally demonstrated the power of large-scale reinforcement learning (RL) in eliciting sophisticated reasoning behaviors and significantly enhancing the capabilities of large language models (LLMs). However, the core training methodologies behind these groundbreaking reasoning models often remain veiled in their technical reports. Recent community efforts have

The remarkable success of OpenAI’s o1 series and DeepSeek-R1 has unequivocally demonstrated the power of large-scale reinforcement learning (RL) in eliciting sophisticated reasoning behaviors and significantly enhancing the capabilities of large language models (LLMs). However, the core training methodologies behind these groundbreaking reasoning models often remain veiled in their technical reports. Recent community efforts have