AI Observability & Evaluation
-
Updated
Jan 7, 2026 - Jupyter Notebook
AI Observability & Evaluation
Essential reads for every AI engineer interested in building AI apps.
Realign is a testing and simulation framework for AI applications.
From docstrings to code. Vibeflow generates real python functions from function stubs.
AIDE AI-Powered Development Environment - Your codebase-aware copilot for intelligent implementation, refactoring & architectural guidance
Agent Engineering experiment, practices, codes, specs...
AI Engineer using Microsoft Azure
AI Travel Agent - A React-powered travel planner that generates personalized trip itineraries using OpenAI. Features real weather data, AI-generated travel images, and smart recommendations based on traveler count. Built with TypeScript, Tailwind CSS, and integrated with OpenAI API for dynamic content generation.
Este repositório tem como objetivo servir como um guia de aprendizado relativamente geral, abrangendo as três áreas de interesse. O propósito não é alcançar maestria em todos os tópicos abordados, mas sim fornecer uma visão clara e precisa para auxiliar na escolha da área de especialização.
Discover insightful summaries of talks and presentations focused on AI engineering, providing in-depth explanations of cutting-edge tools and techniques tailored for the discerning AI engineer.
Substrate examples
A .NET-based AI project leveraging Retrieval-Augmented Generation (RAG) and OpenAI to provide efficient, intelligent search capabilities for team documentation.
Generate professional, engaging LinkedIn posts in multiple languages with the power of LangChain + GitHub Models.
Source code for JPCODAI: A portfolio showcasing Scalable Software Architecture and the integration of AI/ML Engineering. Built using React, Tailwind, and Three.js (R3F) for immersive 3D data visualization and advanced scroll-driven animations.
Enterprise Content Management MVP with semantic search capabilities. Upload PDFs and images OCR text extraction from images using Tesseract LLM-assisted metadata suggestion using Google Gemini (enhanced with OCR text) Semantic and exact metadata search Image similarity search using OpenCLIP Vector embeddings with Qdrant SQLite database
You’ll explore foundational AI concepts and then dive deep into building real-world GenAI applications. From there, the book guides you into the realm of Agentic AI, detailing how to design intelligent agents capable of perception, reasoning, planning, decision-making, and dynamic collaboration.
Full-stack developer portfolio showcasing psychology-driven web design | Next.js, React, TypeScript
Add a description, image, and links to the aiengineering topic page so that developers can more easily learn about it.
To associate your repository with the aiengineering topic, visit your repo's landing page and select "manage topics."