Machine Learning
Maarten Grootendorst presents a visual, accessible guide to quantization for LLMs, covering FP32/FP16/BF16, INT8, symmetric and asymmetric quantization, and both post-training and quantization-aware training. The piece also explores advanced topics like GPTQ and GGUF, 1-bit BitNet and 1.58-bit quantization, including memory and accuracy trade-offs with diagrams and examples.
General
FFmpeg 101 offers a practical primer on FFmpeg's architecture, listing core tools and libraries, and provides end-to-end sample code to demux, discover codecs, configure decoders, and decode video frames. It includes build steps with Meson and Ninja, and a runnable example that prints stream metadata and decodes frames from a sample file. This is valuable for developers integrating multimedia processing into apps or SMB IT teams building internal media workflows.