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Baobao Algorithm Notes
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Baobao Algorithm Notes

Author of the BaiMian large model, offering technology and industry insights.

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Latest from Baobao Algorithm Notes

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Baobao Algorithm Notes
Baobao Algorithm Notes
Jun 2, 2026 · Artificial Intelligence

MiniMax M3: How a 1M‑Token, Multimodal Agent Reproduces ICLR Research and Automates Kaggle Competitions

The MiniMax M3 model combines a 1‑million‑token context window, native multimodal training and a new MiniMax Sparse Attention architecture that cuts token compute to one‑twentieth of its predecessor, achieving up to 15× faster decoding, while its interactive user‑simulator training enables fully autonomous agents that can reproduce ICLR‑2025 research and tackle Auto‑Kaggle competitions at a fraction of the cost of Western models.

Auto KaggleM3MiniMax
0 likes · 9 min read
MiniMax M3: How a 1M‑Token, Multimodal Agent Reproduces ICLR Research and Automates Kaggle Competitions
Baobao Algorithm Notes
Baobao Algorithm Notes
May 26, 2026 · Artificial Intelligence

How On-Policy Distillation (OPD) Solves Core Challenges in Large-Model Post-Training

The article explains how On-Policy Distillation (OPD) combines on‑policy sampling with dense teacher feedback via reverse KL to address low signal density, distribution shift, and capability interference in large‑model post‑training, and compares implementations by Qwen3, GLM‑5, MiMo‑V2 and DeepSeek‑V4.

Knowledge DistillationOPDOn-Policy Distillation
0 likes · 20 min read
How On-Policy Distillation (OPD) Solves Core Challenges in Large-Model Post-Training
Baobao Algorithm Notes
Baobao Algorithm Notes
May 22, 2026 · Artificial Intelligence

How LiteScale Cuts Wait Times in Large‑Model Post‑Training with Gradient Accumulation

The article examines the bottleneck of synchronous rollout in large‑model post‑training, proposes an asynchronous design using gradient accumulation and a global micro‑batch count to preserve loss equivalence, and introduces LogitsExpress for efficient top‑K knowledge‑distillation communication, all implemented in the lightweight LiteScale framework.

Distributed TrainingKnowledge DistillationPost-training
0 likes · 16 min read
How LiteScale Cuts Wait Times in Large‑Model Post‑Training with Gradient Accumulation
Baobao Algorithm Notes
Baobao Algorithm Notes
Apr 27, 2026 · Artificial Intelligence

DeepDive into DeepSeek‑V4: Efficient Million‑Token Context, Hybrid Attention, and Muon Optimizer

The article provides an in‑depth technical analysis of DeepSeek‑V4, detailing its novel hybrid attention architecture (CSA and HCA), the manifold‑constrained hyper‑connection (mHC), massive KV‑cache reductions, FLOPs savings across token lengths, and the Muon optimizer with Newton‑Schulz orthogonalization, all backed by concrete benchmark tables and code snippets.

DeepSeekEfficient AttentionKV cache reduction
0 likes · 61 min read
DeepDive into DeepSeek‑V4: Efficient Million‑Token Context, Hybrid Attention, and Muon Optimizer
Baobao Algorithm Notes
Baobao Algorithm Notes
Apr 20, 2026 · Industry Insights

From Prompt Writer to Harness Architect: Redefining the Algorithm Engineer in the LLM Era

The article analyzes how the rise of foundation models shifts algorithm engineers from hand‑crafting models to building robust Harness environments, detailing OpenAI’s agent‑first experiments, the new "Model + Harness" formula, and practical steps for staying valuable in a prompt‑centric world.

AI engineeringHarness architectureIndustry Trends
0 likes · 9 min read
From Prompt Writer to Harness Architect: Redefining the Algorithm Engineer in the LLM Era
Baobao Algorithm Notes
Baobao Algorithm Notes
Apr 14, 2026 · Industry Insights

Why Mastering AI Agents Is the Most Critical Skill Right Now

The article argues that leveraging AI agents like Claude Code is now the top priority for developers, explaining how agents boost productivity, the importance of their operating environment, and why embracing them is essential for future success in the AI-driven workplace.

Claude CodeEnvironmentLLM
0 likes · 10 min read
Why Mastering AI Agents Is the Most Critical Skill Right Now
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 20, 2026 · Artificial Intelligence

Can AI Self‑Iterate? Inside MiniMax M2.7’s Self‑Improving Magic

The article examines MiniMax M2.7’s claim of self‑iteration, its impressive Kaggle record, and a series of technical tests—including code refactoring, real‑time chart generation, futures backtesting, business analysis, PPT creation, and news tracking—to evaluate the model’s practical AI self‑evolution capabilities.

AIAutoMLKaggle
0 likes · 8 min read
Can AI Self‑Iterate? Inside MiniMax M2.7’s Self‑Improving Magic
Baobao Algorithm Notes
Baobao Algorithm Notes
Mar 2, 2026 · Artificial Intelligence

How “Skills” Turn LLM Prompts into Portable, Engineered Workflows

This article dissects the evolution of LLM prompts into structured, version‑controlled skill packages, explains the AgentSkills specification, details OpenClaw’s implementation, compares prompts, memory, MCP and skills, and provides end‑to‑end examples with code, flowcharts and best‑practice recommendations.

Agent skillsLLMOpenClaw
0 likes · 40 min read
How “Skills” Turn LLM Prompts into Portable, Engineered Workflows