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Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 24, 2026 · Artificial Intelligence

A Comprehensive Guide to Major Attention Mechanisms: From MHA and GQA to MLA, Sparse and Hybrid Architectures

This article reviews and compares the most important attention variants used in modern large language models—including multi‑head attention, grouped‑query attention, multi‑head latent attention, sparse and sliding‑window attention, gated attention, and hybrid designs—detailing their motivations, memory trade‑offs, example architectures, and experimental findings.

Attention MechanismsGQALLM
0 likes · 29 min read
A Comprehensive Guide to Major Attention Mechanisms: From MHA and GQA to MLA, Sparse and Hybrid Architectures
Baobao Algorithm Notes
Baobao Algorithm Notes
Sep 28, 2024 · Artificial Intelligence

Inside Llama 3: A Complete Guide to Modern LLM Training, Architecture, and Optimization

This article provides a thorough, yet concise, overview of Llama 3’s training pipeline, data handling, model architecture, scaling laws, post‑training techniques like SFT and DPO, and inference optimizations such as KV‑Cache, GQA, PagedAttention, and FP8 quantization, highlighting practical insights and benchmark results.

DPOGQAInference
0 likes · 32 min read
Inside Llama 3: A Complete Guide to Modern LLM Training, Architecture, and Optimization