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Artificial Intelligence and Data Science

Introduction to LLM Ecosystem: From Model Fine-tuning to Application Implementation

Building a complete LLM application requires more than just having a powerful model. A thriving LLM ecosystem needs to cover all aspects from model training and optimization to deployment and application. This article will take you through various aspects of the LLM ecosystem, exploring how to truly apply LLM to real-world scenarios.

High Performance Computing

RDMA: Memory Window

This article is reprinted from Zhihu Column: 14. RDMA Memory Window, Author: Savir. To more flexibly and conveniently control memory access permissions, the IB protocol designed MW. This article mainly introduces the function of MW, its relationship with MR, interfaces, and classification. Additionally, compared to the article on MR, it provides a more in-depth introduction to L_Key and R_Key.

High Performance Computing

RDMA: Shared Receive Queue

This article is reprinted from Zhihu Column: 11. RDMA Shared Receive Queue, Author: Savir. The IB protocol significantly reduces the memory capacity requirements on the receiving end through the SRQ mechanism. This article mainly introduces the principles of SRQ and the similarities and differences with RQ.

High Performance Computing

RDMA: Completion Queue

This article is reprinted from Zhihu Column: 10. RDMA and Completion Queue, Author: Savir. CQ and QP are interdependent and serve as the medium for hardware to "report task status" to software. This article provides analysis and explanation of most of the content related to CQ in the protocol.

High Performance Computing

RDMA: Queue Pair

This article is reprinted from Zhihu Column: 9. RDMA Queue Pair, Author: Savir. QP is the most critical concept in RDMA technology, serving as the medium for software to "issue commands" to hardware. This article analyzes and explains most of the content related to QP in the protocol.