Local AI Assistants and Agents: A Secure, Reproducible Deployment Guide
A practical path from a local Ollama assistant to retrieval and controlled tool use, with explicit privacy, security, versioning, and deployment boundaries.
TOPIC COLLECTION
Python tools and implementation patterns for research computing.
A practical path from a local Ollama assistant to retrieval and controlled tool use, with explicit privacy, security, versioning, and deployment boundaries.
A compact OpenCV workflow for segmenting isolated biological samples, exporting pixel and calibrated size descriptors, and documenting the validation required before scientific use.
A practical guide to using Root Quantify for polygon ROI selection, background correction, binary-mask cleanup, and organized export before downstream root analysis.
A concise, reproducibility-focused route from tensors and training loops to transfer learning, evaluation, safe checkpoints, and deployment boundaries.
A practical workflow for structuring Python research projects, recording environments, collaborating through Git, and preserving data provenance.