Tagged articles

Modular AI

7 articles · Page 1 of 1
Machine Heart
Machine Heart
Jul 21, 2026 · Artificial Intelligence

Can Multi-Agent Systems Be Built Like LEGO? Introducing Agent Primitives for Modular Reuse

The paper proposes Agent Primitives—reusable latent building blocks for multi‑agent systems—that replace hand‑crafted pipelines with modular collaboration patterns, communicate via KV‑Cache to avoid natural‑language bottlenecks, and demonstrate significant accuracy, efficiency, and stability gains across diverse tasks and LLM backbones.

AI researchKV CacheLLM communication
0 likes · 12 min read
Can Multi-Agent Systems Be Built Like LEGO? Introducing Agent Primitives for Modular Reuse
Machine Heart
Machine Heart
Jun 24, 2026 · Artificial Intelligence

How APEIRIA Breaks the Black‑Box Barrier of 3D MLLMs (ICML 2026)

The paper introduces APEIRIA, a three‑stage curriculum that distills neuro‑symbolic program traces into 3D multi‑modal LLMs, enabling transparent spatial reasoning while preserving open‑vocabulary understanding, and demonstrates strong benchmark gains, modular upgrades, and zero‑shot generalization.

3D MLLMModular AINeuro-Symbolic Reasoning
0 likes · 11 min read
How APEIRIA Breaks the Black‑Box Barrier of 3D MLLMs (ICML 2026)
DeepNoMind
DeepNoMind
Feb 7, 2026 · Artificial Intelligence

Decoding Claude Skills: From Prompt Engineering to Context Engineering

This article analyzes Anthropic's Claude Skills architecture, showing how moving from monolithic prompt engineering to modular context engineering reduces token waste, improves security, and enables version‑controlled, composable AI agents through progressive disclosure, sandbox isolation, and a three‑tier ledger model.

Claude SkillsLLM ArchitectureModular AI
0 likes · 21 min read
Decoding Claude Skills: From Prompt Engineering to Context Engineering
AI Algorithm Path
AI Algorithm Path
Jan 20, 2026 · Artificial Intelligence

End‑to‑End vs Agentic Approaches for Visual Language Navigation: Pros, Cons, and a Hybrid Roadmap

Both end‑to‑end and agentic visual‑language‑navigation systems have distinct strengths and weaknesses; the former excels in closed‑distribution efficiency while the latter offers modularity, explainability, and scalability, and a hybrid design can combine fast reflexes with high‑level planning for robust navigation.

Hybrid ArchitectureModular AIagentic system
0 likes · 4 min read
End‑to‑End vs Agentic Approaches for Visual Language Navigation: Pros, Cons, and a Hybrid Roadmap
21CTO
21CTO
Jun 5, 2025 · Artificial Intelligence

What Is the Model Context Protocol (MCP) and Why It Matters for AI Integration

This article explains the Model Context Protocol (MCP), an open standard that lets AI models, tools, and agents share context and communicate through a central server, detailing its definition, key components, workflow, benefits for developers, and real‑world examples.

AI IntegrationInteroperabilityMCP
0 likes · 10 min read
What Is the Model Context Protocol (MCP) and Why It Matters for AI Integration
IT Services Circle
IT Services Circle
Sep 11, 2023 · Artificial Intelligence

Mojo: Modular AI’s New High‑Performance Programming Language for AI Research and Production

Mojo, the new language from Modular AI founded by Chris Lattner, blends Python’s ease of use with C‑level performance via MLIR, offers a Linux‑only SDK with REPL, VS Code, Jupyter support, and claims speedups of up to 68 000× over Python, with example code and a static‑binary build workflow.

AI programmingC languageHigh Performance
0 likes · 7 min read
Mojo: Modular AI’s New High‑Performance Programming Language for AI Research and Production