Guides
Opinionated breakdowns of what actually works in production, ignoring academic leaderboards.
Tabular vs Deep Learning
Why XGBoost still dominates structured data.
Local LLMs vs Managed APIs
The economic and privacy crossover points.
Time Series Baselines
Why simple stats beat complex neural nets.
Choosing Embeddings
Dimensionality, context windows, and cost.
CNN vs ViT in 2024
Edge deployments vs scaling laws.
RLHF vs DPO
Modern alignment techniques explained.
RAG Chunking Strategies
Preventing retrieval misses.
Synthetic Data
Distillation pipelines for 8B models.
LLM Quantization
GGUF vs AWQ vs GPTQ.
Fine-Tuning vs LoRA
Parameter-efficient adaptation.
Anomaly Detection Models
Finding needles in haystacks.
Modern RecSys
Two-tower retrieval and ranking.