Learning path to fully understand the Kimi K3 technical report?

Hi everyone, Can anyone suggest a learning path to fully understand the technical report for Kimi K3? My background: • I've taken a graduate-level deep learning course. • I understand the Transformer architecture, attention, and the basics of LLMs. • I'm familiar with DeepSeek's OCR models but I haven't studied topics like MoE, MLA, distributed training, or modern post-training in depth. I'm looking for a roadmap that would help me read the K3 report and understand the design choices instead of just recognizing the terminology. Thanks! submitted by /u/Present_Mention_2757 [link] [comments]

Source: r/ollama | 2026-07-31