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Building Supervised Fine-Tuning Data from NVIDIA Open-SWE-Traces: Trajectory Parsing, Patch Analysis, Token Budgets, and Tool-Use Metrics
banner("STEP 3 — Building the analysis DataFrame") def process_example(ex): traj = normalize_trajectory(ex.get("trajectory")) rc = role_counts(traj) nf, add, dele, _files, _exts = parse_patch(ex.get("model_patch")) meta = normalize_metadata(ex.get("metadata"))…
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How to Ace Data and ML Behavioural Interviews
interviews were stupid. I thought they would be a walk in the…
Water Cooler Small Talk, Ep. 11: Overfitting in RAG evaluation
is a special kind of small talk, typically observed in office spaces…
Amplify the Expert: A Philosophy for Building Enterprise RAG
of Enterprise Document Intelligence, a series that builds an enterprise RAG system…
Build a Nanobot-Style AI Agent in Google Colab with Tool Calling, Session Memory, Skills, and MCP Servers
import subprocess, sys def _pip_install(*pkgs): try: subprocess.run(, check=True) except Exception as e:…
Meet container: Apple’s Open-Source Swift Tool for Running Linux Containers as Lightweight VMs on Apple Silicon
Apple research team recently released the container project. It is an open-source…
One Month Into Learning Data Engineering in Public: Here’s What I Didn’t Write About
out to someone on LinkedIn I’d never met, asking what he thought…
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