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3,528 documents

WORKFLOWS.md

TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

Tianqi Chen et al. University of Washington, AWS, Shanghai Jiao Tong University, UC Davis, Cornell

ai
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Mycenae
ARCHITECTURE.md

Vibe Marketing Skills v2.1 — Architecture Deep Dive

**Version:** v2.1 | **Date:** March 2026 | **Platforms:** Claude Code, OpenAI Codex, GitHub Copilot CLI

aiagentprompt
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robroyhobbs
CHECKLIST.md

📹 Complete Demo Video Script - Inventory System

**Duration:** 8-10 minutes | **Format:** Screen Recording with Voiceover

aicursor
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shenori
IMAGE_PROMPT.md

Contents

<h1 align="center">A Collection of Text-to-Image Generation Studies</h1>

aillm
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AlonzoLeeeooo
AGENTS.md

ppx_minidebug CLI Documentation

The `minidebug_view` CLI provides powerful tools for exploring and analyzing ppx_minidebug database traces. It supports both interactive TUI mode for human exploration and command-line mode with JSON output for programmatic access (e.g., by LLM agents or automation scripts).

agentllmautomation
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lukstafi
System Prompt.md

Agent: brand-guardian

**Invoke with:** `@brand-guardian` in chat

aiagentprompt
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delriodevelops
AGENTS.md

Graph Neural Networks

Graph Neural Networks (GNNs) are a class of machine learning models designed to work directly with data that can be represented as graphs. In many areas of physics as well as chemistry, materials science, and networked systems data come naturally in the form of nodes (entities) connected by edges (relationships). A GNN provides a way to “learn” from these connections, taking into account not only the individual properties of nodes but also how they influence one another through their edges. In t

ai
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ph7klw76
DEPLOYMENT.md

Disaster Recovery - NRP: Strengthened Production Launch Roadmap

**Role:** Senior Product Manager

airagworkflow
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3
CleanExpo
GOLDEN_SET.md

📈 Trading RAG Mentor

> **Personal AI Trading Mentor** — A custom Retrieval-Augmented Generation (RAG) system built on momentum & price action video transcripts. Ask questions and get answers grounded exclusively in your own trading knowledge base.

aillmrag
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sudhakarbadugu
EVALS.md

Day 20: Evaluation & Benchmarks 📏

root((Day 20: Evaluation & Benchmarks 📏))

aillmrag
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Ravikiran-Bhonagiri
SOURCES.md

Reference Sources - Open Source Projects to Study

**Project:** Podcast Video Editor

raggemini
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nguyenduccanh011
CHECKLIST.md

📱 Mobile Phone Preview - Quick Start

✅ **You're already viewing this in VS Code!**

aiprompt
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3
BodanampatiMohith
cursor-rules.md

grapeot/devin.cursorrules

date: 2025-07-03T22:11:02.060257

cursor
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tom-doerr
System Prompt.md

Gemini by Example

This file contains all examples from the Gemini by Example site (geminibyexample.com).

aiagentllm
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0xsline
INSTRUCTIONS.md

Overture Integration for Claude Code

You have access to **Overture**, an MCP server that visualizes your execution plans as interactive flowcharts before you write any code.

aiagentprompt
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3
WhiteDevil-93
DEPLOYMENT.md

SentinelAI Services v2.1 - Alice's Expert Review Guide

- **Hackathon**: Dega-Midnight AI DAO Treasury Management

ai
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bytewizard42i
ARCHITECTURE.md

WARP.md

This file provides guidance to WARP (warp.dev) when working with code in this repository.

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Finimus
PRD.md

SourceAtlas PRD v2.9.6

**AI-Powered Codebase Understanding Assistant**

aipromptclaude
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lis186
EVALS.md

evaluation_driven_development

title: "Evaluation Driven AI Development"

aiagentllm
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AOEpeople
KNOWLEDGE.md

Domain Knowledge Collection — NineS

> **Task**: T04 (Research Team L3) | **Generated**: 2026-04-11 | **Status**: Complete

aiagenteval
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YoRHa-Agents
ANALYTICS.md

Analytics Pipeline

This document describes the analytics infrastructure for ShipSec Studio, including OpenSearch for data storage, OpenSearch Dashboards for visualization, and the routing architecture.

airagworkflow
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ShipSecAI
EVALS.md

EVAL-001: Evaluation Contract — Flash Evaluations (FEATURE-053)

**Author:** Mike Chavez

aieval
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mikechavez
GUARDRAILS.md

LlmGuard Framework - Complete Implementation Buildout

**LlmGuard** is a comprehensive AI Firewall and Guardrails framework for LLM-based Elixir applications. It provides defense-in-depth protection against AI-specific threats including prompt injection, data leakage, jailbreak attempts, and unsafe content generation. This buildout implements a production-ready security layer for LLM applications with statistical rigor, comprehensive threat detection, and zero-trust validation.

aillmprompt
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North-Shore-AI
BENCHMARKS.md

Speed Evaluation

| Scheme | Implementation | Key Generation [cycles] | Encapsulation [cycles] | Decapsulation [cycles] |

eval
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erdemalkim
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