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The Scaling Journey
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Writing
Overview
Essays
Getting Started with The Scaling Journey
Notes
Notes
LLMs
Overview
Troiani
Overview
Architecture
Architecture Variants
Attention Mechanisms
Scaling
Compute Efficiency
Power Laws in LLMs
Pre-training
Architecture
Batch Normalization Tricks
Data
Learning Rate Schedules
Optimization
Mid-training
Fine-tuning
Instruction Tuning
RLHF
Tools & Agents
Compression
Knowledge Distillation (KD)
Pruning
Quantization-Aware Training (QAT)
Quantization
Restoration Process
Retrieval & RAG
Embeddings & Indexing
RAG Systems
World Models
Overview
Foundations
Prediction
Dynamics Models
Visual Prediction
Workloads
Evaluation
Research notes
AI Infra
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Performance
Training systems
Inference systems
Cluster & platform
Data plane
Kernels & compilers
Deployment
World Model Platform
Harness
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Overview
Notes
The Price of Attention
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Quantization-Aware Training (QAT)
WIP.