Long Context: Extending Transformer Context Windows When to Use This Skill Use Long Context techniques when you need to: - Process long documents (32k, 64k, 128k+ tokens) with transformer models - Extend context windows of pre-trained models (LLaMA, Mistral, etc.) - Implement efficient positional encodings (RoPE, ALiBi) - Train models with length extrapolation capabilities - Deploy models that handle variable-length inputs efficiently - Fine-tune existing models for longer contexts with minimal compute Key Techniques : RoPE (Rotary Position Embeddings), YaRN, ALiBi (Attention with Linear Bias…