AirSOTA
Air School of Thoughts AtoZAirSOTA 知识矩阵：聚合大模型算法架构、科学育儿情境成长、加州地产考牌实战与全球数字化商业出海的权威专栏。
TalentMe · AI 学习与系统架构
工业级 AI 算法核心 69 题、前沿大模型系统架构演进与北美技术面试全流程备考深度长文。
Daily AI Pulse (2026-10-01): Gemini 4 Argon Launch & OpenAI’s Jalapeño Chip Architecture
Gemini 4 Argon targets sustained reasoning; OpenAI reveals Jalapeño accelerator with 216GB HBM4; DeepSeek builds abstraction layer for Huawei Ascend.
Daily AI Pulse (2026-09-30): OpenAI Launches GPT-6.1 Sol & Dots Agents Amid $1.4T Valuation Talks
OpenAI debuts GPT-6.1 Sol (5x cheaper than Astra) and autonomous ‘Dots’ agents. Meta’s Muse dominates agentic traffic; OpenAI seeks $30B at $1.4T valuation.
High-Concurrency AI System Design: SSE Streaming, Semantic Cache & ML Runtimes
> **Core Executive Summary**: Traditional web servers handle millisecond HTTP requests. LLM serving involves multi-second streaming responses. **High-Concurrenc
Mixture-of-Experts (MoE) & DeepSeek MLA/MTP/mHC Architecture: Top-k Routing, Aux-Loss-Free, KAN vs MLP
> **Core Executive Summary**: As model scales reach trillion-parameter frontiers, Dense forward FLOPs become unsustainable. **Mixture-of-Experts (MoE)** replace
AI Math Foundations: Bayes Inference, Shannon Entropy, Cross-Entropy & KL Divergence
> **Core Executive Summary**: Probability theory and information theory form the mathematical backbone of artificial intelligence. From **Bayesian Inference** p
Industry Recommendation System Design: 3-Stage Pipeline, Two-Tower Models & Feature Store
> **Core Executive Summary**: No single model can score a hundred-million-item corpus within a ~50ms latency SLA. Production systems decompose inference into a
MLE System Design Guide: Recommendation, Search & Risk Control
> **Executive Summary**: Machine Learning System Design separates senior Machine Learning Engineers (MLE) and AI Architects from junior modelers. Candidates mus
KV Cache Management: Exact Bounds Derivation, vLLM PagedAttention & Prefix Caching
> **Core Executive Summary**: Autoregressive LLM generation requires caching key-value states to eliminate $O(N^2)$ recomputation. However, **KV Cache** imposes
Classical NLP Tasks: NER, Text Classification, seq2seq Translation & NLI Entailment
> **Core Executive Summary**: Classical NLP established the foundations of text sequence modeling prior to large language models. From **NER (Named Entity Recog
Sampling & Monte Carlo Methods: Inverse Transform, Rejection, Importance Sampling, MCMC & Bootstrap
> **Core Executive Summary**: Sampling theory answers a fundamental question — how do we draw random values from a target distribution when we can only cheaply
Real-time Risk Control & Fraud Detection System Design: Streaming & Graph Risk
> **Core Executive Summary**: A financial-grade risk control system must return a **Pass / Reject / Manual-Review** decision within a **10ms SLA** while scannin
RS Core Cheatsheet: Top 30 Papers Breakdown & Deep RL
> **Executive Summary**: Technical interviews for Research Scientist (RS) roles evaluate first-principles mathematical rigor, analytical loss derivations, gener
MLOps & Online Testing: Data Drift Monitoring, PSI Metric, A/B Testing & CUPED
> **Core Executive Summary**: Production deployment is not the end of the ML lifecycle. **MLOps & LLMOps** maintain real-time observability, continuous retraini
Parameter-Efficient Fine-Tuning (PEFT): LoRA, QLoRA, DoRA, Prefix/Prompt Tuning, Adapters & MoRA/ReLoRA
> **Core Executive Summary**: As Large Language Models (LLMs) scale to hundreds of billions of parameters, Full Fine-Tuning becomes computationally prohibitive.
Statistical Inference & Hypothesis Testing: Distribution Families, MLE, CLT, p-Values, Confidence Intervals & Power Analysis
> **Core Executive Summary**: Statistical inference is the discipline of turning noisy data into calibrated decisions under uncertainty, and hypothesis testing