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Bandit and CircleCI

How You Can Integrate Bandit with CircleCI Why It’s Valuable Things to Watch Out For / Trade-Offs Example Snippet (Pseudo config.yml) version: 2.1jobs: security_scan: docker: – image: cimg/python:3.9 steps: – checkout – run: name: Install Bandit command: pip install bandit – run: name: Run Bandit command: bandit -r . -f json -o bandit-report.json – store_artifacts:…

Sleeper AI Agent

A “Sleeper AI Agent” typically refers to an AI system designed to remain dormant or behave normally until activated by specific conditions, triggers, or commands. This concept appears in several contexts: Security and AI Safety Context Sleeper agents in AI safety research refer to models that: Research Applications Legitimate uses include: Technical Implementation Sleeper agents…

TensorFlow vs. PyTorch

Development Philosophy TensorFlow takes a production-first approach, emphasizing scalability, deployment, and enterprise features. Originally built around static computational graphs, though TensorFlow 2.0 introduced eager execution by default. PyTorch prioritizes research flexibility and intuitive development. Built from the ground up with dynamic computational graphs and a “Pythonic” design philosophy that feels natural to Python developers. Ease…

Skypilot in ML conext

SkyPilot is a framework designed to run large language models, AI workloads, and other batch jobs across cloud platforms. It abstracts infrastructure complexities, maximizes GPU availability through autoscaling groups across regions/zones, and aggressively pursues cost optimization with managed spot instances. SkyPilot aims to require no code changes to existing applications What is SkyPilot? ☁️ Cloud-Agnostic…


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