Using DeepSeek for AI-Assisted Programming in VSCode

Using Deepseek for AI-Assisted Programming in VSCode

In today’s digital age, artificial intelligence (AI) is gradually permeating all aspects of software development, bringing great convenience to programmers. Among these, leveraging AI tools during the coding process can significantly enhance efficiency and reduce errors. This article will provide a detailed introduction for beginners on how to call Deepseek in Visual Studio Code (VSCode) … Read more

DeepSeek: Innovation Driven by Market Competition

DeepSeek: Innovation Driven by Market Competition

Chen Bai/WrittenA company that started as a private equity firm in the A-share market has now become a “top player” in the global AI field. Even Sam Altman, the founder of OpenAI, has had to start paying attention to this company, which is referred to in Silicon Valley as the “mysterious force from the East.” … Read more

Cost-Saving Techniques in DeepSeek: Unveiling the Secrets

Cost-Saving Techniques in DeepSeek: Unveiling the Secrets

Tencent Technology “AI Future Guide” Special Contributor: Hao Boyang Editor: Zheng Kejun No GPU Poor, Only Not Enough Squeeze. The launch of DeepSeek-V3 perfectly illustrates this statement with a set of astonishing data. While models like O1, Claude, Gemini, and Llama 3 struggle with billions in training costs, DeepSeek-V3 achieved performance on par with them … Read more

Comparison of MinMax01 and DeepSeek V3

Comparison of MinMax01 and DeepSeek V3

Let’s start with the conclusion,MinMax01 currently has capabilities that are weaker than DeepSeek V3, and the gap may be quite significant. After clicking the “#AI” link at the bottom left of the article, you can browse more AI-related articles. Recently, many people have said that MinMax01 can serve as a replacement for DeepSeek V3. Some … Read more

Understanding Key Technology DeepSeekMoE in DeepSeek-V3

Understanding Key Technology DeepSeekMoE in DeepSeek-V3

1. What is Mixture of Experts (MoE)? In the field of deep learning, the improvement of model performance often relies on scaling up, but the demand for computational resources increases sharply. Maximizing model performance within a limited computational budget has become an important research direction. The Mixture of Experts (MoE) introduces sparse computation and dynamic … Read more

Comparison of MiniMax-01 and DeepSeek-V3

Comparison of MiniMax-01 and DeepSeek-V3

Author: Jacob, Code Intelligent Copilot & High-Performance Distributed Machine Learning SystemOriginal: https://zhuanlan.zhihu.com/p/18653363414>>Join the Qingke AI Technology Group to exchange the latest AI technologies with young researchers/developers Recommended Reading Interpretation of MiniMax-01 Technical Report Interpretation of DeepSeek-V3 Technical Report Comparison of MiniMax-01 and DeepSeek-V3 Aspect MiniMax-01 DeepSeek-V3 Model Architecture Based on linear attention mechanism, using hybrid … Read more

Comparison Between MiniMax-01 and DeepSeek-V3

Comparison Between MiniMax-01 and DeepSeek-V3

Comparison table Aspect MiniMax-01 DeepSeek-V3 Model Architecture Based on linear attention mechanism, using a hybrid architecture (Hybrid-Lightning), and integrating MoE architecture. Based on Transformer architecture, using MLA and DeepSeekMoE architectures, and introducing auxiliary loss-independent load balancing strategies. Parameter Scale 456 billion total parameters, 45.9 billion active parameters. 671 billion total parameters, 37 billion active parameters. … Read more