LLMOps & Performance

Running AI in production — deployment, scaling, latency optimization, cost management, and operational best practices.

Technical blueprint showing a decoder-only transformer pipeline from token embedding through causal masked attention to
MAX guide 13 min

How to Build a Decoder-Only Transformer and Select the Right Pretrained Model in 2026

Build a decoder-only transformer with correct causal masking in PyTorch, then pick between GPT-5, LLaMA 4, and DeepSeek …

Blueprint schematic of a semantic search pipeline with embedding vectors flowing through indexing and retrieval stages
MAX guide 12 min

Embedding Models: Voyage 4 vs NV-Embed-v2 vs BGE-M3 2026

Choose between Voyage 4, NV-Embed-v2, and BGE-M3. Includes Matryoshka embeddings and cost optimization strategies for …

Specification blueprint overlaid with attention weight heatmaps flowing between token sequences
MAX guide 11 min

How to Implement Multi-Head Attention in PyTorch and Visualize Attention Patterns

Specify multi-head attention for AI-assisted PyTorch builds. Decompose QKV projections, constrain SDPA kernels, and …

Architectural blueprint of a transformer model with labeled attention layers and data flow arrows on a dark grid
MAX guide 12 min

How to Build a Transformer from Scratch Using PyTorch and Hugging Face

Specify a transformer from scratch in PyTorch and Hugging Face. Decompose attention, embeddings, and training loops into …