🧠 Large Language Model Process

Visual schemas showing how LLMs are trained and how they work

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🎓 Training Process

📊 Data Collection → 🔤 Tokenization → 🔢 Embeddings → 📚 Pretraining → 🎯 Fine-tuning → 🧠 Reinforcement Learning → 🚀 Trained Model

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🔮 Inference Process

📝 User Input → 🔤 Tokenization → 🔢 Embeddings → 🎯 Attention → 🧮 Feed Forward → 🔄 Layer Processing → 📊 Output Probabilities → 🎲 Token Selection → 🔤 Detokenization → 💬 Response

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👨‍💻 Author

Ignacio López Luna

• 🔗 GitHub: ilopezluna
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