Ai
Artificial Intelligence
Machine learning, large language models, AI agents, and AI engineering
Machine learning, large language models, AI agents, and AI engineering practices.
Subdomains
Foundations & Architecture
- Foundations — Core concepts, architectures, industry dynamics
- Models — Model internals, inference, optimization, interpretability
Development & Training
- Training — Training, fine-tuning, post-training
- Operations — MLOps, infrastructure, data processing
- Evaluation — Benchmarking, observability, reproducibility
LLM & Agents
- LLM — Large language models, embeddings, SLM
- Agents — AI agents, multi-agent systems, protocols
- Prompt — Prompt engineering and design patterns
- Coding Agent Shell Bias — PowerShell vs Bash performance disparity
Governance & Safety
- Governance — AI governance, policy, and compliance
- Safety — AI safety and alignment
Specialized Topics
Applications & Tools
- Applications — Practical AI applications
- Tools — AI development tools
- Vibe — Vibe coding practices
- Workflow — AI-assisted workflows
Other Topics
- Benchmark — AI benchmarks
- Framework — AI frameworks
- Image — AI image generation
- AIGC 海报生成 — 端到端海报生成、多任务编辑与质量评估
- Recommendation — Recommendation systems
Tour
评论
Anthony Bonkoski 将 GPT 类比为"人类知识的极大似然估计器"，即其知识面广泛覆盖但缺乏深度，能给人提供平均化的标准答案。
数据结构
向量可视化
使用 projector.tensorflow 在低维度空间查看不同向量的某个特征的分布情况。