Technical Sharing | Elliptic Curve Cryptography (ECC)

Technical Sharing | Elliptic Curve Cryptography (ECC)

Click the blue text “ShunYun Multi-Physical Field Simulation” Explore advanced algorithm engines Elliptic Curve Cryptography (ECC) is a highly regarded topic. ECC is a public key encryption algorithm that utilizes points on an elliptic curve for encryption and decryption operations. Compared to traditional RSA algorithms, ECC offers greater efficiency and security by using shorter key … Read more

In-Depth Analysis of the MCP Protocol: Three Steps to Achieve Direct HTTP Client Connection, Disrupting Traditional Development Models

In-Depth Analysis of the MCP Protocol: Three Steps to Achieve Direct HTTP Client Connection, Disrupting Traditional Development Models

This article introduces how to connect a custom HTTP client to the MCP server without the MCP client. MCP is a protocol that enables large language models (LLM) to connect to any endpoint, simplifying the connection between developers and external tools. The article details the architectural components of MCP and provides an implementation process, including … Read more

Why Do Multi-Agent LLM Systems Fail?

Why Do Multi-Agent LLM Systems Fail?

Why do multi-agent LLM systems fail? Abstract Despite the growing enthusiasm for multi-agent systems (MAS), which consist of multiple LLM agents collaborating to complete tasks, their performance improvements in popular benchmark tests remain minimal compared to single-agent frameworks. This gap highlights the necessity of analyzing the challenges that hinder the efficiency of MAS. In this … Read more

Why Multi-Agent Systems Will Ultimately Fail? (Berkeley Paper)

Why Multi-Agent Systems Will Ultimately Fail? (Berkeley Paper)

Research Background image.png|550 Research Question The problem this paper aims to address is the minimal performance improvement of Multi-Agent Large Language Model (LLM) systems (referred to as MAS) compared to single-agent frameworks. Despite the potential of MAS in handling complex multi-step tasks and interacting with dynamic environments, their accuracy or performance improvements remain limited in … Read more

GPU, ASIC, FPGA: Which Accelerates Large Models Better?

GPU, ASIC, FPGA: Which Accelerates Large Models Better?

Click the blue textto follow us With thedevelopment ofLLM, the importance of accelerators capable of efficiently processingLLM computations has become increasingly prominent. This article discusses the necessity ofLLM accelerators and provides a comprehensive analysis of the main hardware and software features of currently available commercialLLM accelerators. Based on this, it proposes development ideas and future … Read more

Accessing Locally Deployed Models on RK3588 Using LangChain

Accessing Locally Deployed Models on RK3588 Using LangChain

In the field of artificial intelligence and natural language processing, utilizing powerful tools and frameworks to interact with locally deployed models is a common and important task. Today, I will share how to use the LangChain framework to access models deployed locally on the RK3588. Background Knowledge Introduction to LangChain LangChain is a powerful Python … Read more

RKLLama: LLM Server and Client for Rockchip 3588/3576 Chips

RKLLama: LLM Server and Client for Rockchip 3588/3576 Chips

Address:https://github.com/NotPunchnox/rkllama RKLLama is an open-source server and client solution designed to run large language models (LLMs) optimized for the Rockchip RK3588 (S) and RK3576 platforms, and to interact with them. Unlike solutions such as Ollama or Llama.cpp, RKLLama fully utilizes the Neural Processing Units (NPU) on these devices, providing an efficient and high-performance solution for … Read more

Why Implement GPT-2 in Pure C Language? Karpathy Responds to Online Criticism

Why Implement GPT-2 in Pure C Language? Karpathy Responds to Online Criticism

Machine Heart ReportEditor: Xiao Zhou Karpathy: for fun. A few days ago, Andrej Karpathy, former head of Tesla Autopilot and OpenAI scientist, released a project called “llm.c” that implements GPT-2 training in just 1000 lines of code on CPU/fp32. llm.c aims to simplify large model (LM) training — using pure C language / CUDA, without … Read more

C++ Cross-Platform Package Manager: Microsoft Community Builds an Efficient Ecosystem | Open Source Daily No.562

C++ Cross-Platform Package Manager: Microsoft Community Builds an Efficient Ecosystem | Open Source Daily No.562

microsoft/vcpkghttps://github.com/microsoft/vcpkg Stars: <span>24.3k</span> License: <span>MIT</span> vcpkg is a cross-platform C/C++ package management tool that supports Windows, Linux, and MacOS, maintained by Microsoft and the C++ community. Easy integration with various build systems Control over dependency versions Support for packaging and publishing custom packages Reuse of binary artifacts Enables offline scenarios and asset caching WooooDyy/LLM-Agent-Paper-Listhttps://github.com/WooooDyy/LLM-Agent-Paper-List Stars: … Read more

Why Do Multi-Agent LLM Systems Fail?

Why Do Multi-Agent LLM Systems Fail?

Multi-Agent Large Language Model (LLM) systems can fail? Recently, the University of California, Berkeley published a significant paper titled “Why Do Multi-Agent LLM Systems Fail?” which delves into the reasons for the failures of MAS systems, outlining 14 specific failure modes and providing corresponding improvement suggestions. Below is the translation of the paper, Enjoy. Introduction … Read more