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What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
No fortress, purely open ground. OpenManus is Coming.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
Streamlit — A faster way to build and share data apps.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
This is a repo with links to everything you'd ever want to learn about data engineering
WIP: Roadmap to becoming a machine learning engineer in 2020
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec

