I Created an AI Server with Python and 5 Amazing Features part 2
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LatestMachine LearningI Created an AI Server with Python and 5 Amazing Features part 2 0 like March 10, 2025Share this postAuthor(s): Fabio Matricardi Originally published on Towards AI. An OpenAI-compatible API server for OpenVINO text generation: how to use an AI coding assistant to extend features and handle errors.This member-only story is on us. Upgrade to access all of Medium.image by the author (20%), Claude prompt (20%) and Flux.1-Schnell (60%)In the first part of this series, I described my journey of creating an OpenAI API-compatible server using OpenVINO, driven by my frustration with the complexities of the OpenVINO Model Server (OVMS).I decided to build my own solution without using Docker, and with the assistance of Claude, as my AI coding assistant.I analyzed OpenVINOs complexities and built my own API Server in 20 hours from the idea to the code: the hiddenpub.towardsai.netWe used FastAPI for handling requests and OpenVINO for generating responses.So far it is clear that AI coding (also called Vibe Coding) is not a walk in the park, and it comes with great advantages and potentially huge drawbacks. The first ones (advantages) are about continuous interaction, live, while coding. The latter (the drawbacks) are subtle: you may be so ignorant about what you are asking that you are not even able to know what and where needs to be fixed.Understanding the tools and programming language is crucial.Debugging and providing feedback to the AI assistant is essential.Human errors can also be part of the problem.Documentation is vital Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post
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