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3,528 documents
SentinelAI Services v2.1 - Alice's Expert Review Guide
Checklist for reviewing a hackathon project's architecture, features, and production readiness across 11 assessment categories.
Great Deep Learning Tutorials for Natural Language Processing (NLP)
Curates 200+ links to deep learning NLP tutorials, papers, libraries, and datasets, organised by topic.
SMART-CAM (Smart AI Camera) — Full Documentation
Documents an edge AI surveillance pipeline that detects people, extracts ReID embeddings, and tracks identities locally on a Raspberry Pi with optional Hailo NPU acceleration.
Using Performance Metrics to Evaluate RAG Systems
Walks through evaluating RAG systems with Qdrant and Relari, covering Top-K parameter tuning and auto prompt optimization.
ProtoExtract — Evaluation Approach Using OmniDocBench Methodology
Defines a multi-level evaluation framework for clinical protocol table extraction, adapting OmniDocBench metrics and adding domain-specific accuracy measures.
Project Rules and Guidelines
Indexes a documentation directory with links to architecture, workflow, testing, and security guides for a Figma-based resume project.
Triggering Evals via GitHub Actions
Documents how to trigger eval runs remotely via `gh workflow run` with 14 configurable inputs and example commands for five benchmarks.
Risk Assessment Matrix
Documents 12 risks with likelihood, impact, score, level, and mitigation for a child-facing AI app's data protection impact assessment.
Definition of Done for Advanced Analytics in the AI Era
Defines a multi-sector Definition of Done for AI analytics, covering technical, governance, business, operational, and ethical criteria with sector-specific examples and an implementation roadmap.
AI Agent Improvement Plan (Repere)
Outlines a phased plan to improve an AI agent's tool accuracy, context relevance, latency, and user trust with diagnostics and validation.
cheap-RAG Development Roadmap
Maps a 6-phase plan to turn a document retrieval system into a production RAG framework with generation, reranking, caching, and multimodal support.
Newsletter SDLC Process
Defines a complete SDLC process for building email newsletter systems with AWS SES, DynamoDB, and MJML templates.
Alerting Guide for FFmpeg RTMP
Defines 16 Prometheus alert rules for FFmpeg RTMP deployments, plus setup, notification, and incident response procedures.
Constraints
Defines a three-tier priority system for design decisions, with conflict resolution examples to guide trade-offs.
🚀 Neon Fraud Watch - MVP (Minimum Viable Product)
Documents the MVP scope, features, architecture, and roadmap for a Bitcoin fraud detection dashboard with a 4-factor risk scoring algorithm.
Speed Evaluation
Presents cycle counts, memory usage, and code size for Kyber and NewHope KEM variants on an ARM Cortex-M4 target.
Software Requirements Specification (SRS)
Defines functional and non-functional requirements for a RAG-based corporate knowledge assistant with citation and hallucination guardrails.
LAB3-INSTRUCTIONS
Guides students through four encryption tasks using openssl and gpg, including symmetric/asymmetric encryption, encrypted email, and digital signatures.
TALI Project Map
Maps the TALI project's directory structure, core modules, configuration files, and quick links for navigation.
coinset CLI
Documents 50+ CLI commands for querying the Chia blockchain, inspecting spends, and running CLVM utilities via a full node RPC wrapper.
STRIDE: Repudiation — Threat Modeling Prompt Pack
Provides a copyable AI prompt and checklist to identify repudiation threats and audit logging gaps in a system architecture.
YouTube Video Script: Train OccWorld on Tokyo 3D City Data with Lambda Cloud
Provides a complete script and visual plan for a YouTube tutorial on training the OccWorld 3D world model on Tokyo city data using Lambda Cloud GPUs.
MLOps Guide: MLFlow, DVC & Evidently
Shows how to combine MLFlow, DVC, and Evidently for experiment tracking, data versioning, and model monitoring in a Python project.
Trader212 Trading Bot - Comprehensive Analysis Report
Audits a trading bot's backtest results, identifies statistical gaps, and recommends validation steps before live deployment.