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3,528 documents
Database Interview Notes
Serves as a study guide covering database fundamentals, big data concepts, DBMS architecture, and interview tips for data roles.
Content at Scale: How Small Teams Can Produce Big Marketing with AI
Teaches small teams to use AI for content marketing, covering strategy, creation, operations, and ethics.
Contributor Guidelines for the `ee` editor
Lists a feature backlog, coding style rules, and current refactoring priorities for the `ee` terminal editor project.
SageMaker LLM Training Operator (SOP)
Guides users through a 15-step wizard to produce executable SageMaker training launchers for LLM fine-tuning, using official AWS recipes when available.
agent-taskstate Task Seed Template
Provides a structured Markdown template for defining a single agent task with metadata, requirements, plan, and acceptance criteria.
Presentation Evaluator — Prototype Plan
Defines an 8-module pipeline that evaluates academic presentations from recorded video, extracting speech, prosody, body language, and language metrics against TED talk benchmarks.
With Jina Embeddings v3
Explains late chunking, a technique that embeds full documents before splitting into chunks to preserve context, improving retrieval recall by 3-10%.
Editorial & Technical Plan: Agentii AI - Financial AI Authority Blog
Operationalises a content strategy for a financial AI blog with editorial workflows, technical stack, SEO tactics, and measurement plans.
CTO Personal Website - Comprehensive Content Strategy
This content strategy document outlines a comprehensive approach to positioning a Chief Technology Officer (CTO) as a thought leader in the technology industry through strategic content creation, professional messaging, and industry expertise showcase.
AGENTS.md — Cross-Platform Agent Instructions
Serves as a table of contents and usage guide for a library of 480+ prompts and 180+ agents organized across 28 categories.
vitap-vtop-client Documentation
Documents an async Python library that scrapes the VIT-AP VTOP student portal for attendance, grades, timetable, biometric logs, outing requests, and profile data.
Contextual Retrieval
Exposes two Go functions that prepend a short LLM-generated context to each document chunk before retrieval, improving search accuracy.
Stripe Local Development Setup
Explains how to test Stripe webhooks locally while keeping the production webhook pointing to Cloud Run.
Tool Use Reference
Explains the tool-use pattern where Claude requests function calls and you execute them, covering schemas, loops, parallel execution, and built-in tools.
GenAI for Marketing - Backend APIs
Documents 16 FastAPI endpoints for campaign management, image generation, Google Trends, news summarization, BigQuery, Drive, Slides, and translation.
Enhanced Prompt Design Guidelines
Guides an AI to rewrite user prompts into stationary, facial-performance-focused video generation prompts for avatar models.
Context-Aware RAG Agent: Flow & Evaluation Plan
Documents the execution flow, offline evaluation pipeline, and resource constraints for a context-aware RAG system using RAGAs metrics.
Chatbot & Prompt Injection Pentesting Playbook
Documents 11 attack categories and 5-phase methodology for testing chatbot and LLM prompt injection vulnerabilities.
Google Cloud
Documents steps to set up a Google Cloud RAG engine and Vertex AI Search with Dialogflow CX, including trial credits and regional agent creation.
Evaluation Framework
Defines a three-layer evaluation system for an AI investment assistant: guardrails, online RAGAS scoring, and offline golden dataset regression tests.
The Evaluation & Optimization Loop
Describes a closed-loop system that generates synthetic data, applies human review, optimizes routing with DSPy, evaluates results, and annotates telemetry for continuous improvement.
System Architecture
Documents the architecture of a polyglot log intelligence system with Go ingestion and Python ML analysis.
Archipelago Alerts - Project Summary for LLMs
Summarises the architecture, stack, and key components of an Archipelago multiworld game tracker with a Flask backend and Android frontend.
Evaluation & Datasets
Explains evaluation metrics, benchmarks, and leaderboards for AI models across text, vision, and audio domains.