LLM Tokenization Deep Dive: BPE, SentencePiece, Tiktoken (2026)
How LLM tokenizers really work — BPE, SentencePiece, Tiktoken, vocab design, multilingual gotchas, and why your token count drives your bill.
Emergent Abilities in LLMs: What Scales, What’s a Mirage (2026)
Emergent abilities in LLMs — what truly emerges with scale, what is a benchmark mirage, and what the 2026 evidence shows about emergence vs measurement.
GraphRAG Architecture Patterns: Building Knowledge-Graph-Enhanced Retrieval for Enterprise LLM Applications
Deep-dive into GraphRAG architecture patterns — knowledge graph construction, community detection, graph-enhanced retrieval, and when GraphRAG outperforms naive vector RAG. Benchmarks and trade-offs.
Agentic RAG Architecture Patterns: When Plain RAG Is Not Enough
Four agentic RAG patterns — planner-retriever, router, graph-RAG agent, reflective RAG. When each is worth it and the failure modes each introduces.