Last week, DeepSeek announced that it would open source five projects next week: Netizens said, “This time, OpenAI is really here.” Just now, the first open source project came, related to inference acceleration, FlashMLA: Open source project address: DeepSeek FlashMLA It has been open source for two hours, and Github already has 2.7k+ stars: The…
FlashMLA has quickly gained attention in the world of artificial intelligence, particularly in the field of large language models (LLMs). This innovative tool, developed by DeepSeek, serves as an optimized decoding kernel designed for Hopper GPUs—high-performance chips commonly used in AI computations. FlashMLA focuses on the efficient processing of variable-length sequences, making it particularly well-suited…
Introduction Today, large language models (LLMs) play a crucial role. In early 2025, as the competition for AI intensified, Alibaba launched the new Qwen2.5-max AI model, and DeepSeek, a company from Hangzhou, China, launched the R1 model, which represents the pinnacle of LLM technology. Deepseek R1 is an open source AI model that has attracted…
The 32B inference model uses only 1/8 of the data and is tied with DeepSeek-R1 of the same size! Just now, institutions such as Stanford, UC Berkeley, and the University of Washington have jointly released an SOTA-level inference model, OpenThinker-32B, and have also open-sourced up to 114k training data. OpenThinker Project homepage: OpenThinker Hugging Face:…
Many people have already started to deploy and use Deepseek Large Language Models locally, using Chatbox as a visualization tool This article will continue to introduce two other AI Large Language Model management and visualization artifacts, and will compare the three in detail to help you use AI Large Language Models more efficiently. In 2025,…
On February 9, French President Emmanuel Macron announced that France would invest 109 billion euros (113 billion US dollars) in the field of AI in the next few years. This investment will be used to build an AI park in France, improve the infrastructure, and invest in local AI start-ups. Meanwhile, Mistral, a French startup,…
The true value of DeepSeek is underestimated! DeepSeek-R1 has undoubtedly brought a new wave of enthusiasm to the market. Not only are the relevant so-called beneficiary targets rising sharply, but some people have even developed DeepSeek-related courses and software in an attempt to make money from it. We believe that although these phenomena have a…
Function positioning and core advantage analysis ChatGPT (OpenAI) – the global benchmark for all-rounders ChatGPT Technical genes: generative AI based on the GPT series of large models, with general conversational skills and logical reasoning as its core advantages. Multilingual processing: performs best in English, with continuous improvement in Chinese;but we recommen to use English to…
Today I’d like to share an article from DeepSeek, titled DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models. This article introduces DeepSeekMath 7B, which is pre-trained on DeepSeek-Coder-Base-v1.5 7B based on a collection of 120B math-related tokens, natural language and code data. The model achieved an astonishing score of 51.7% in competitive-level…
Today we will share DeepSeek R1, Title: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning: Incentivizing the reasoning capability of LLM via reinforcement learning. This paper introduces DeepSeek’s first generation of reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. The DeepSeek-R1-Zero model was trained through large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as an initial step,…
