The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

Trae Agent is an LLM-based agent for general purpose software engineering tasks.

Open-source implementation of AlphaEvolve

Repo to accompany my mastering LLM engineering course

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, Adversarial Machine Learning.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

A curated list of awesome resources, tools, and other shiny things for LLM prompt engineering.

This repo contains the dataset and code for the paper "SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering?"

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

open-source coding LLM for software engineering tasks

This is a public repository to go over all the LLM-driven data engineering concepts.

Provides automated reverse engineering assistance through the use of local large language models (LLMs) on consumer hardware.

Tuning LLMs with no tears💦; Sample Design Engineering (SDE) for more efficient downstream-tuning.

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

Materials for the LLM Engineering Essentials course

LLM 逆向工程接口管理 | 通过标准 OpenAI API 访问 ChatGPT / gpt4free / Bard / Claude / HuggingChat / 通义千问 等 AI 的破解版 || ChatGPT reverse engineering API management | Access all reverse engineered LLM libs by standard OpenAI API format || 免费 ChatGPT Free GPT LLM API | 逆向工程 转 OpenAI API | converts all llm libs to OpenAI API

OpenCE (Open Context Engineering): A community toolkit to implement, evaluate, and combine LLM context strategies (RAG, ACE, Compression). Evolved from the `ACE-open` reproduction.

A manifesto and playbook for AI-native software engineering in the LLM era / AI-Native的软件工程宣言

Steer LLM outputs towards a certain topic/subject and enhance response capabilities using activation engineering by adding steering vectors

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Android Bench is a framework for benchmarking Large Language Models (LLMs) on Android development tasks. It evaluates an AI model's ability to understand mobile codebases, generate accurate patches, and solve Android-specific engineering problems.

Lightweight chat AI platform featuring custom knowledge, open-source LLMs, prompt-engineering, retrieval analysis. Highly customizable. For Retrieval-Centric & Retrieval-Augmented Generation.

A curated list of resources, tools, papers, and platforms for prompt engineering in large language models (LLMs) and generative AI.

A MCP Server for a small scale engineering agents with multi-provider LLM support.

Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).