Tagged articles

training scaling

3 articles · Page 1 of 1

Jul 25, 2026 · Artificial Intelligence

From Next Token to Deployable AI: A Comprehensive Overview of Large Model Technology

This article maps the entire large‑model production chain—from data collection, token prediction, and architecture design through training, alignment, inference, multimodal perception, agentic action, deployment, evaluation, and safety—highlighting key engineering decisions, trade‑offs, and concrete examples.

Model ArchitectureRetrieval Augmented Generationagent safety

0 likes · 47 min read

From Next Token to Deployable AI: A Comprehensive Overview of Large Model Technology

Baidu Intelligent Cloud Tech Hub

May 22, 2026 · Artificial Intelligence

How Baidu Baige’s Full‑Stack AI Infra Accelerates Embodied Model Iteration

The article details Baidu Baige’s end‑to‑end AI infrastructure for embodied intelligence, covering VLA and world‑model architectures, scaling challenges for medium‑sized models, cloud‑based motion‑control pipelines, open‑source integration, hardware‑aware training optimizations, and simulation‑engine improvements that together speed up model development and deployment.

AI InfraBaidu BaigeVLA

0 likes · 13 min read

How Baidu Baige’s Full‑Stack AI Infra Accelerates Embodied Model Iteration

Baobao Algorithm Notes

Nov 3, 2025 · Artificial Intelligence

Inside Kimi Linear: How Aggressive MoE Sparsity and Hybrid Linear Attention Boost a 3B‑Scale LLM

The author details Kimi Linear's architecture, training challenges, aggressive MoE sparsity, hybrid linear attention design, benchmark gains, and post‑training insights, offering a transparent technical review of this 48B‑parameter MoE LLM built on 5.7 T tokens.

Hybrid ModelKimi LinearLLM

0 likes · 9 min read

Inside Kimi Linear: How Aggressive MoE Sparsity and Hybrid Linear Attention Boost a 3B‑Scale LLM