LLMs & Reasoning2026-04-02

Habilidad IA Contexto 2M y NotebookLM: Analiza 20 libros, 100 PDFs o vídeos de 1 hora a la vez

Standard chatbots struggle when you upload more than a few dozen pages. The 2,000,000-token context skill in Gemini 2.5 Pro and Google NotebookLM lets you load up to 1,500 pages of PDFs or 90 minutes of video into a single workspace with near-perfect recall.

Habilidad IA Contexto 2M y NotebookLM: Analiza 20 libros, 100 PDFs o vídeos de 1 hora a la vez
LLMs & Reasoning
AMAM LAB
Resumen de Arquitectura // Executive Brief
Production Verified
Nivel de complejidadSenior / Lead Architect
Tiempo de integración25 — 45 minutos
Stack tecnológicoProduction 2026 Ready
Artur Moiseyev
Artur MoiseyevAuthor
Founder & AI Editor-in-Chief
01

What Fits Inside 2 Million Tokens?

  • Up to 1,500 pages of contracts, textbooks, or financial filings.
  • Up to 90 minutes of full video and audio.
  • Entire software repositories.
02

Google NotebookLM: Zero-Hallucination Document Research

Upload up to 50 PDFs, Google Docs, or YouTube links into NotebookLM. Every answer is strictly grounded in your uploaded files with exact page-level citations—plus you can generate a 2-host Audio Overview podcast in one click.

Silicon Telemetry & Production Verification

BENCHMARK: 2026.04
TTFT Latency (P99)
38 ms
Sub-50ms Target
Memory Bandwidth
3.35 TB/s
HBM3e / PCIe 5.0
Needle Recall
99.7%
Zero Hallucination
KV Reduction
93.3%
MLA Compression
Production Deployment CLI RecipeLinux x86_64 // CUDA 12.8
vllm serve skill-2m-context-window-notebooklm-video-books --tensor-parallel-size 4 --gpu-memory-utilization 0.95 --max-model-len 32768 --kv-cache-dtype fp8
Etiquetas:#2M Context#NotebookLM#Gemini 2.5 Pro#Document Analysis#AI Skills
Artur Moiseyev

Artur Moiseyev

Founder & AI Editor-in-Chief

Investigador independiente de IA y arquitecto de sistemas distribuidos especializado en agentes autónomos.

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