Tagged articles

LLM architecture

8 articles · Page 1 of 1

Apr 26, 2026 · Artificial Intelligence

Three Cutting‑Edge Open‑Source Projects Redefining AI Infrastructure

The article reviews three advanced open‑source projects—LingBot‑Map for real‑time 3D scene reconstruction, Browser‑Harness enabling AI‑written browser tools, and OpenMythos recreating Claude Mythos’s looped transformer—showing how AI is shifting toward task execution, 3‑D perception, and deeper architectural innovation.

AI agent automationClaude MythosLLM architecture

0 likes · 11 min read

Three Cutting‑Edge Open‑Source Projects Redefining AI Infrastructure

Machine Learning Algorithms & Natural Language Processing

Apr 8, 2026 · Artificial Intelligence

Dissecting Gemma‑4’s Architecture and Training Choices: A Technical Comparison with Qwen‑3 and GLM‑5

This article breaks down every architectural and training decision behind Gemma‑4—KV sharing, p‑RoPE, per‑layer embeddings, and a dual‑path MoE + dense MLP—while contrasting its efficiency and performance with Qwen‑3 and GLM‑5 across benchmarks, quantization strategies, and RL pipelines.

GLM-5Gemma 4LLM architecture

0 likes · 23 min read

Dissecting Gemma‑4’s Architecture and Training Choices: A Technical Comparison with Qwen‑3 and GLM‑5

DeepHub IMBA

Mar 27, 2026 · Artificial Intelligence

AI Agent Architecture: Chain‑of‑Thought, ReAct, and Tool Calls

From a simple black‑box view where an agent receives a user request and returns an answer, the article breaks down modern AI agent designs—detailing the pure Chain‑of‑Thought reasoning loop, the ReAct reasoning‑acting cycle, tool integration, iteration tuning, and how to choose the optimal architecture for production.

AI agentsChain-of-ThoughtLLM architecture

0 likes · 9 min read

AI Agent Architecture: Chain‑of‑Thought, ReAct, and Tool Calls

Alibaba Cloud Developer

Mar 23, 2026 · Artificial Intelligence

From Scenario Abstraction to an AI Assistant Production Line: Scalable Architecture and Prompt Plug‑In Design

The article analyzes the inefficiencies of building isolated AI assistants for each business need, abstracts four high‑frequency scenarios, proposes a reusable technical solution stack—including IntentResult modeling, FSWW tool‑recall, ReAct reasoning, multimodal RAG, and a prompt plug‑in framework—and demonstrates how a one‑click platform can turn these designs into production‑ready AI assistants.

AI assistantsLLM architecturePrompt engineering

0 likes · 21 min read

From Scenario Abstraction to an AI Assistant Production Line: Scalable Architecture and Prompt Plug‑In Design

Data Thinking Notes

Aug 26, 2025 · Artificial Intelligence

From Prompt to Context: How AI Agents Evolve into Proactive Intelligence

This article explores the rapid growth of large language models and explains how AI agents transform passive, single‑turn responses into proactive, continuous intelligence by leveraging a core “Prompt→Context→Action” loop, detailing their architecture, key components, challenges, and future directions.

AI AgentContext ManagementLLM architecture

0 likes · 20 min read

From Prompt to Context: How AI Agents Evolve into Proactive Intelligence

Volcano Engine Developer Services

Aug 26, 2025 · Artificial Intelligence

From Single LLM to Multi‑Agent: How Context Engineering Drives the Next AI Architecture

This article examines the evolution of LangChain's Open Deep Research project from a monolithic LLM pipeline to a multi‑agent system, highlighting the role of context engineering, architectural trade‑offs, practical code examples, and best‑practice guidelines for building scalable, token‑efficient AI solutions.

AI researchLLM architectureLangChain

0 likes · 16 min read

From Single LLM to Multi‑Agent: How Context Engineering Drives the Next AI Architecture

Software Engineering 3.0 Era

Jul 28, 2025 · Artificial Intelligence

How Enterprise AI Agents Move From Efficiency Silos to Value Resonance

The article explains how enterprise AI agents shift from a command‑response model to a goal‑execution paradigm, outlines a layered LLM architecture, tool integration, and memory systems, and demonstrates three practical use cases that create clear value loops for R&D, marketing, and customer service.

AI agentsAutomationEnterprise AI

0 likes · 13 min read

How Enterprise AI Agents Move From Efficiency Silos to Value Resonance

DaTaobao Tech

Sep 11, 2023 · Artificial Intelligence

Large Language Model Upgrade Paths and Architecture Selection

This article analyzes upgrade paths of major LLMs—ChatGLM, LLaMA, Baichuan—detailing performance, context length, and architectural changes, then examines essential capabilities, data cleaning, tokenizer and attention design, and offers practical guidance for balanced scaling and efficient model construction.

BaichuanChatGLMData preprocessing

0 likes · 32 min read

Large Language Model Upgrade Paths and Architecture Selection