Tagged articles

Training Dynamics

2 articles · Page 1 of 1
java1234
java1234
Sep 16, 2026 · Artificial Intelligence

Why LLM Post-Training Got Hard: 5 Paradigm Shifts in 6 Months

This article analyzes five major paradigm shifts in large model post-training over the past six months, covering expert distillation, online distillation as RL alternative, RLVR refinements, SFT-RL distribution mismatch, and data quality as irreducible constraint, with specific papers and metrics.

Large Language ModelsModel DistillationPost-Training
0 likes · 11 min read
Why LLM Post-Training Got Hard: 5 Paradigm Shifts in 6 Months
AI Algorithm Path
AI Algorithm Path
Oct 12, 2025 · Artificial Intelligence

Flow Matching vs Diffusion Models: Key Differences and Connections

This technical article provides a comprehensive comparison of diffusion models and flow matching, covering their intuitive explanations, underlying mathematics, training objectives, sampling efficiency, theoretical guarantees, practical examples, and code implementations to illustrate how each generative approach works.

Diffusion ModelsFlow MatchingGenerative AI
0 likes · 12 min read
Flow Matching vs Diffusion Models: Key Differences and Connections