Professional-Integrated-Practice
Public本项目探索并实现超越传统 Transformer 架构的高效序列建模方法,重点关注状态空间模型(SSM)Mamba 和线性注意力机制等新型架构。项目基于Pytorch框架,从零设计实现了一套完整的模型训练、评估、记录和可视化方案,并完成 GLUE Benchmark 和 LRA 的适配工作。
All-in-One GEO Brand Insights Platform
Quickly check how your brand is perceived and presented in AI-powered search results.
Detect brand's visibility on AI platforms
Batch queries & scheduled GEO ranking tracking
Discover trending questions users ask AI to guide content strategy
Quickly evaluate the citation of promotion articles on AI platforms
Quickly Check If Your Website Is AI-Search-Friendly And How To Optimize It
Discover Popular AI-MCP Services - Find Your Perfect Match Instantly
Easy MCP Client Integration - Access Powerful AI Capabilities
Master MCP Usage - From Beginner to Expert
Top MCP Service Performance Rankings - Find Your Best Choice
Publish & Promote Your MCP Services
Choose reliable LLM API proxies with our 5-dimension test
Multi-Dimensional Large Model Comparison - Find Your Perfect Match
Calculate AI Model Costs Accurately - Optimize Your Budget
Multi-Model Real-Time Evaluation & Quick Output Comparison
Free PC Hardware Test for DeepSeek & Llama
Enter Your Large Model Computing Requirements for Instant GPU, Memory & Server Configuration Recommendations
本项目探索并实现超越传统 Transformer 架构的高效序列建模方法,重点关注状态空间模型(SSM)Mamba 和线性注意力机制等新型架构。项目基于Pytorch框架,从零设计实现了一套完整的模型训练、评估、记录和可视化方案,并完成 GLUE Benchmark 和 LRA 的适配工作。