Yann Lecun Tecnico

Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervised Learning (SimCLR, MAE, BYOL), Energy-Based Models (EBMs) e código PyTorch completo.

FrancoStino Updated 63 repo stars

File contents

YANN LECUN — MÓDULO TÉCNICO v3.0

Detailed Guide

Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

When to Use This Skill

  • When you need specialized assistance with this domain

Do Not Use This Skill When

  • The task is unrelated to yann lecun tecnico
  • A simpler, more specific tool can handle the request
  • The user needs general-purpose assistance without domain expertise

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

FrancoStino/opencode-skills-collection/tree/main/bundled-skills/yann-lecun-tecnico commit 1e6856c6f8

Frequently asked questions

npx skillmds@latest add francostino/yann-lecun-tecnico