Google Gemini 3.5 Flash Explained: Architecture, Benchmarks, and Deployment (2026)
Google Gemini 3.5 Flash explained: the MoE multimodal architecture, context window, real 2026 benchmarks, pricing, latency, and how it compares to GPT and Claude.
Agent Benchmarks in 2026: SWE-bench Verified, GAIA, and tau-bench
A deep dive into 2026 AI agent benchmarks: SWE-bench Verified, GAIA, and tau-bench — what they measure, how they leak, and how to read agent leaderboards honestly.
Constrained Decoding: Architecture for Guaranteed-Valid LLM Output (2026)
How constrained decoding guarantees valid LLM output: grammars, FSAs, token masking, JSON-schema enforcement, and where structured generation breaks in production.
DeepSeek V4 Explained: Architecture, Sparse Attention, Benchmarks, and Deployment (2026)
DeepSeek V4 explained: the 1.6T-parameter MoE architecture, Compressed Sparse Attention, 1M-token context, SWE-bench and reasoning benchmarks, pricing, and how to deploy it.
DeepSeek V4 Explained: Architecture, Sparse Attention, Benchmarks, and Deployment (2026)
DeepSeek V4 explained: the 1.6T-parameter MoE architecture, Compressed Sparse Attention, 1M-token context, SWE-bench and reasoning benchmarks, pricing, and how to deploy it.
Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem
Long-context LLM benchmarks in 2026: why 1M-token windows do not mean 1M-token reasoning, RULER, NIAH, effective context length, and how to test long-context models properly.
Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem
Long-context LLM benchmarks in 2026: why 1M-token windows do not mean 1M-token reasoning, RULER, NIAH, effective context length, and how to test long-context models properly.
RAG Evaluation Architecture: Faithfulness, Context Precision, and RAGAS-Style Metrics (2026)
How to evaluate RAG systems in production: faithfulness, context precision/recall, answer relevancy, RAGAS-style metrics, golden sets, and an evaluation pipeline architecture.
Qwen3.6 Explained: Hybrid MoE Architecture, 1M Context, and Benchmarks
Qwen3.6 explained: Alibaba's hybrid Gated DeltaNet MoE flagship, the open-weight 27B and 35B-A3B variants, 1M-token context, benchmarks, license, pricing, and how to deploy it.
Feature Store Architecture: Online/Offline Parity and Point-in-Time Correctness
A feature store architecture deep-dive: online/offline parity, point-in-time correct joins, materialization, and the registry - how to stop training/serving skew in production ML.