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:Continue reading “Bandit and CircleCI”
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The Backbone Breaker Benchmark (b3), built by Lakera with the UK AI Security Institute.
https://www.lakera.ai/blog/the-backbone-breaker-benchmark Why This Matters Security has long been the missing metric in how we evaluate large language models. The b3 benchmark changes that by making security measurable, comparable, and reproducible across the ecosystem, rather than providing another leaderboard.
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 agentsContinue reading “Sleeper AI Agent”
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. EaseContinue reading “TensorFlow vs. PyTorch”
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-AgnosticContinue reading “Skypilot in ML conext”
Elo Rating System
The Elo rating system is a mathematical method for calculating the relative skill levels of players in competitive games or sports. Originally developed by physicist Arpad Elo for chess, it’s now widely used across many competitive fields. How It Works: Core Concept 🎯 Advantages: ✅ Self-correcting – Ratings adjust over time✅ Relative measurement – ComparesContinue reading “Elo Rating System”
Databricks Jobs Workflows Case
1. Executive Summary “Job Workflows allow us to orchestrate and automate our data and AI pipelines in Databricks, leading to faster insights, fewer errors, and lower operational costs.” 2. Business Benefits a. Increased Productivity b. Faster Time-to-Insight c. Cost Savings d. Improved Reliability & Compliance 3. Strategic Alignment 4. Example ROI Calculation 5. Recommendation “AdoptingContinue reading “Databricks Jobs Workflows Case”
Deployments – GitHub Actions vs. CircleCI
A comprehensive comparison of GitHub Actions vs. CircleCI for deployments: 🟢 GitHub Actions Advantages: Seamless Integration GitHub Actions provides seamless GitHub integration with broad automation capabilities and no need for third-party tools, embedding CI/CD directly into your repository workflow for a unified development experience. Amazon Web Services Cost-Effective for Public Repos GitHub Actions is moreContinue reading “Deployments – GitHub Actions vs. CircleCI”
AWS CloudShell Advantages
The key advantages of AWS CloudShell: 🚀 Recent Enhancements AWS CloudShell now supports Amazon Virtual Private Cloud (VPC) support, improved environment start times, and support for Docker environments in all commercial Regions where CloudShell is available. The state of CodeCatalyst in July 2024 – DEV Community 🔐 Built-in Security & Authentication CloudShell includes features likeContinue reading “AWS CloudShell Advantages”
Boto3 SDK over AWS CLI
The main benefit of using Boto3 SDK over AWS CLI is: ✅ Boto3 allows programmatic access to AWS services with full control inside your Python applications, enabling automation, customization, and integration with other logic or systems. 🔍 Detailed Comparison: Feature Boto3 SDK AWS CLI Language Python library Command-line interface Best Use Case Automating AWS tasksContinue reading “Boto3 SDK over AWS CLI”
Notes from San Francisco 