Domain-Driven Design: Building Domain-Centric Applications
A comprehensive guide to Domain-Driven Design including entities, value
Latest Articles
Efficient Long-Context LLM: Strategies for Million-Token Contexts
Learn efficient long-context techniques: sliding window attention, hierarchical methods, sparse attention, KV cache optimization, and dynamic sparse attention for on-device …
Event Sourcing: Building Systems Around State Changes
A comprehensive guide to event sourcing including event stores, aggregate
Event-Driven Architecture: Building Responsive Systems with Events
A comprehensive guide to event-driven architecture including event sourcing,
Function Calling and Tool Use: Building Agentic LLM Systems
Learn ReAct patterns, function calling protocols, tool orchestration, and building AI agents that can reason, act, and observe in loops.
Gated Linear Attention: Efficient Transformers with Data-Dependent Gating
GLA combines linear attention efficiency with learned gating for expressivity. Learn how it achieves RNN-like inference with transformer-like training.
GraphRAG: Knowledge Graph Enhanced Retrieval-Augmented Generation
GraphRAG achieves 85%+ accuracy vs 70% for vector-only RAG. Learn knowledge graph construction, hybrid retrieval, entity extraction, and multi-hop reasoning for enterprise AI.
Knowledge Distillation: LLM Compression and Efficient Transfer
Distill large LLMs into compact students. Learn teacher-student frameworks, distillation techniques, temporal adaptation, low-rank feature distillation, and deployment strategies.
LLM Quantization: GPTQ, AWQ, and GGUF for Efficient Deployment
Quantization reduces LLM memory by 4-8x with minimal quality loss. Learn GPTQ, AWQ, GGUF formats, quantization levels, and deployment strategies for efficient inference.
Long-Context Language Models: Scaling to Million-Token Contexts
Infini-attention enables infinite context with bounded memory. Learn context extension techniques, hierarchical methods, and infrastructure for million-token windows.