RAG
Hybrid Search Q&A
BM25 + embeddings, fused and re-ranked before it ever reaches the model. Took three rewrites of the chunker to stop losing table context.
Read the writeup▶9 minRAG Eval Harness
The thing I wish I'd built first instead of third. Now nothing touches retrieval without a faithfulness score attached.
See the repo▶6 minAgents
Multi-Step Research Agent
Splits a question into subgoals and hands them to smaller agents. Works well until two of them disagree — still tuning the arbiter.
Watch it run▶12 minSelf-Correcting Coding Agent
Reads its own failing test output and patches narrowly instead of rewriting the file. Cut regression rate more than I expected.
See the code▶8 minVision
Defect Detection
Detector trained on maybe 400 labeled frames from the line. Active learning did most of the heavy lifting after that.
Read the notes▶10 minInteractive Segmentation Tool
Built on SAM — one click, full mask. Our labelers stopped complaining, which is the real benchmark.
Try the demo▶8 minEdge Image Classifier
Distilled a ViT down until it fit on-device. Quantization-aware training saved most of the accuracy we'd have lost otherwise.
See the repo▶7 minFine-Tuning
Single-GPU QLoRA Pipeline
Fine-tunes a 7B model on one consumer GPU, start to finish. Data prep took longer than the training run itself, as usual.
Read the walkthrough▶14 min