Google Gemini 3.5 Pro Explained: Architecture, Benchmarks, and 2M Context (2026)
Google Gemini 3.5 Pro explained: the 2M-token context flagship, architecture, training, benchmark scores, pricing, and how it compares to GPT-5.6 and Claude.
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.