How Transformers and Mixture-of-Experts Power Large Language Models

This article explores the role of Transformers and Mixture‑of‑Experts in large models, outlines five fine‑tuning methods, compares traditional and agentic RAG, presents classic agent design patterns, text‑chunking strategies, levels of intelligent agent systems, and explains KV‑caching techniques.

ITFLY8 Architecture Home
ITFLY8 Architecture Home
ITFLY8 Architecture Home
How Transformers and Mixture-of-Experts Power Large Language Models

Transformers and Mixture-of-Experts in Large Models

Five Large Model Fine‑Tuning Techniques

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Comparison of Traditional RAG and Agentic RAG

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Five Classic Agent Design Patterns

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Five Major Text Chunking Strategies

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Five Levels of Intelligent Agent Systems

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Traditional RAG vs HyDE

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RAG vs Graph RAG

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KV Caching

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Transformerlarge language modelsRAGFine-tuningMixture of Experts
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ITFLY8 Architecture Home

ITFLY8 Architecture Home - focused on architecture knowledge sharing and exchange, covering project management and product design. Includes large-scale distributed website architecture (high performance, high availability, caching, message queues...), design patterns, architecture patterns, big data, project management (SCRUM, PMP, Prince2), product design, and more.

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