llm-engineering

Open-source implementation of AlphaEvolve

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

Learn LLM Inference Engineering step by step - from KV cache, PagedAttention, and continuous batching to vLLM, SGLang, and GPUs.

100+ AI, Gen AI, LLM, Agentic AI, Forward Deployed Engineer (FDE), AI Systems Architect, Applied AI, LLMOps, AI Platform engineering interview questions across 10 topics - short answer, detail, worked example, and interview tips for each.

LLM Engineering Claude Skills

Timeless principles and best practices for working with language models - tooling-agnostic, future-proof, and clear.

Burgonet Gateway is an enterprise LLM gateway that provides secure access and compliance controls for AI systems

Live-updating tracker of prompt engineering tools, libraries, and techniques — refreshed every 15 mi

Everything you need to learn Claude Code: deep notes, real assignments, working solutions. From agentic loops to parallel multi-agent systems.

A human–AI collaboration framework that works with LLM nature, not around it — natural language and purpose make RAG and agent orchestration unnecessary. Home of the Pang Principle.

This course provides a comprehensive guide to mastering AI, focusing on Large Language Models (LLMs) and agents. It covers essential concepts, practical coding exercises, and comparisons of leading LLMs to equip participants with the skills needed to build and deploy LLM-based solutions.

A proactive AI assistant using Qwen-Agent to learn your writing style and manage Google Calendar & Gmail.

Complete hands-on Agentic AI bootcamp repository covering LangGraph, LangChain, AI Agents, multi-agent workflows, RAG pipelines, tool-augmented LLM systems, memory architectures, and production-grade AI application engineering for real-world intelligent systems.

Open-source Agentic AI Academy for engineering trustworthy AI agents from learning to production: agents, RAG, MCP, evaluation, security, observability, governance, enterprise architecture and production AI.

DSSential is an advanced decision support system that leverages AI, time series forecasting, and scenario analysis to empower businesses with data-driven insights and optimization. Make smarter decisions with cutting-edge tools for forecasting, sensitivity analysis, and goal setting.

A robust LLM Governance & ROI Evaluation platform designed to benchmark Frontier models against local open-source models. Built with an enterprise microservices architecture and cloud-ready for Kubernetes, this tool helps organizations optimize AI spend by calculating the accuracy-vs-cost tradeoff of local vs. cloud inference

Bilingual (JA/EN) essay corpus on AI agent design, coding-agent workflows, and authorship under AI-mediated diffusion — the essay surface of a five-line research ecosystem. CC0; intrinsic priority claim via Software Heritage SWHID (CITATION.cff).

A decision-oriented LLM engineering knowledge base — from Attention to production. 291 cards, 36-card path: fundamentals, RAG, Agents, and shipping.

Different LLM model usage projects