sinanuozdemir/oreilly-ai-pipelines
Designing and Deploying LLM Pipelines
This project helps machine learning engineers and software developers transition large language model (LLM) prototypes into fully deployed production systems. It provides practical examples and code for integrating LLMs into various workflows. Users input LLM prototypes and receive best practices and code for deployment, ensuring effective model performance in real-world applications.
Use this if you are an ML engineer or software developer looking to move your large language model prototypes from development into reliable, deployed production systems.
Not ideal if you are looking for a no-code solution or are not comfortable with Python and machine learning engineering concepts.
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Last pushed
Dec 10, 2025
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