yann-lecun-tecnico
Explains Yann LeCun's technical concepts. It helps understand neural networks, learning, and AI models with code examples.
What it does
This tool helps you understand and apply advanced artificial intelligence concepts like neural networks (CNNs), self-supervised learning, and energy-based models. It can provide detailed explanations and even code to implement these ideas.
When to use it
- ✓When you want to learn about Convolutional Neural Networks (CNNs).
- ✓If you need help with self-supervised learning.
- ✓To understand AI models like JEPA or EBMs.
Example of what to ask your AI
“Explain self-supervised learning and show me a PyTorch example.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool accesses a detailed guide with technical information on the topics. It uses this material to answer your questions and generate code, focusing on specific areas of artificial intelligence.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill yann-lecun-tecnicoOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/yann-lecun-tecnico/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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.
FAQ
What are CNNs?
CNNs (Convolutional Neural Networks) are a type of artificial intelligence primarily used for analyzing images.
What is self-supervised learning?
It's a way of training AI where the data itself provides the 'answers', without needing human labels.
What is JEPA used for?
JEPA is an AI model that tries to predict parts of an image or data from other parts, learning more efficient representations.
Details
Original description by the author
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.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4608
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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