LLM Quantization Architectures: GPTQ, AWQ, and GGUF Runtimes
GPTQ, AWQ, QAT, PTQ, GGML, GGUF, and K-quants compared from primary sources: what each method quantizes, what it preserves, and which trade-off to pick.
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LATEST INVESTIGATIONS
Source audits & field notes
LLaMA-Factory Architecture: Unified Post-Training Across 100+ LLMs
A source audit analyzing the LLaMA-Factory post-training framework, inspecting SFT, DPO, GaLore memory efficiency, and distributed orchestration pipelines.
Why LLM Agent Results Do Not Combine into One Score
An evidence audit of ReAct, Generative Agents, and a 2025 LLM-agent survey, showing why their task-specific results cannot be combined into one universal success score.
Solving Non-Linear Separability: From XOR Perceptrons to Deep Autograd Networks
Examine non-linear separability in neural networks—from Minsky’s XOR critique to PyTorch dynamic autograd graphs, weight initialization, and backpropagation.
Hugging Face Cookbook: Practical Open-Source AI Architecture and Deployment Patterns
A source audit analyzing the Hugging Face Open-Source Cookbook, evaluating LLM-as-a-judge, semantic caching, PEFT tuning, and containerized TGI/TEI inference.
Modern Data Pipeline Architecture: Collect, Ingest, Store, Compute, and Consume
A source audit analyzing end-to-end data pipeline architectures, evaluating batch versus streaming ingestion, lakehouse storage layers, and 2026 data stack evolutions.
Flutter vs React Native: Rendering Architecture and Runtime Trade-offs
A source audit analyzing Flutter’s Impeller rendering engine, Dart event loop concurrency, and runtime trade-offs against React Native and native stacks.
WebGL to WebGPU: The Architectural Evolution of Real-Time Browser Graphics
A source audit comparing WebGL, WebGPU, and modern neural rendering pipelines, analyzing browser GPU abstraction layers and compute shader evolution.
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