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The Scaling Journey
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Getting Started with The Scaling Journey
Scaling Laws
Compute Efficiency
Power Laws in LLMs
Transformers
Architecture Variants
Attention Mechanisms
Compression
Knowledge Distillation (KD)
Pruning
Quantization-Aware Training (QAT)
Quantization
Restoration Process
Retrieval & RAG
Embeddings & Indexing
RAG Systems
Pre-training
Architecture
Data
Optimization
Mid-training
Fine-tuning
Instruction Tuning
RLHF
Post-training
Deployment
Inference
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Optimization
Section titled “Optimization”
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