TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

A list of AI memory projects

A curated list of best ai tools

Claude Code is powerful. Pilot makes it reliable. Start a task, grab a coffee, come back to production-grade code. Tests enforced. Context preserved. Quality automated.

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents).

Progressive UI from LLM

Learn to build from scratch an AI PR reviewer integrated with GitHub, Slack and Asana that scales within your organization.

Datasets for Predictive Maintenance

Your AI mate into your favourite terminal

Essential reads for every AI engineer interested in building AI apps.

Curated List of AI, ML and Deep Learning books

Explore a curated collection of exceptional open-source libraries for generative AI meticulously reviewed or slated for review by The AI Engineer. Contribute your own projects to be considered for evaluation and inclusion in this dynamic repository dedicated to advancing the AI engineering discipline.

A Go library for building performant, type-safe AI agents that execute structured reasoning workflows.

Production operations framework for AI-powered SaaS. The architectural patterns, failure modes, and operational playbooks that determine whether your AI systems scale profitably or fail expensively.

Ultimate AI research and engineering course

A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes

Real-world AI engineering dataset creation, SFT fine-tuning, and GRPO alignment ETL pipeline.