Open-source implementation of AlphaEvolve
-
Updated
Jul 5, 2026 - Python
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.
LLM Engineering Claude Skills
Timeless principles and best practices for working with language models - tooling-agnostic, future-proof, and clear.
AI Engineering Bootcamp documentation: 48-week full-time program. Published curriculum, assessment standards, rubrics, and open competency evaluation for LLMs, agents, and production AI.
Burgonet Gateway is an enterprise LLM gateway that provides secure access and compliance controls for AI systems
Everything you need to learn Claude Code: deep notes, real assignments, working solutions. From agentic loops to parallel multi-agent systems.
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 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.
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.
Live-updating tracker of prompt engineering tools, libraries, and techniques — refreshed every 15 mi
A proactive AI assistant using Qwen-Agent to learn your writing style and manage Google Calendar & Gmail.
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
Different LLM model usage projects
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).
Week 3 of LLM Engineering Certification: Learn to fine-tune large language models using OpenAI API, QLoRA, and measure performance improvements with baseline evaluation.
This course is designed to teach you how to QUICKLY harness the power of the LangChain library for LLM applications. Build 3 end-to-end working LangChain based generative AI applications with no fluff, no toy examples - just real projects using real APIs and real-world skills.
A high-performance local service engine for large language models, supporting various open-source models and providing OpenAI-compatible API interfaces with streaming output support.
SoloSolve AI is an end-to-end system for transforming raw customer complaints into structured, actionable insights. It combines high-quality synthetic data generation, efficient QLoRA fine-tuning, and a 270M-parameter multi-task classifier that achieves near-perfect accuracy on Amazon Fashion complaint tasks.
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.
Add a description, image, and links to the llm-engineering topic page so that developers can more easily learn about it.
To associate your repository with the llm-engineering topic, visit your repo's landing page and select "manage topics."