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AI · December 22, 2024

Otto-m8

A configurable flowchart to deploy AI/ML workloads

Otto-m8 launched on December 22, 2024 with 9 votes, #2,406 of 5,365 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.

What it does

Otto-m8 is a low code platform that lets users spin up AI/ML workflows quickly and intuitively. Simply select the blocks you need, connect them with other models, and deploy.

Otto-m8 provides a flowchart-like UI to interconnect LLMs and Huggingface models, and deploy them as a REST API with little to no code.

Flowchart-like UI to interconnect LLM's and Huggingface models, and deploy them as a REST API with little to no code. Ready made configurations to get you started while minimizing clutter on thefrom otto-m8.com

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  • Otto-m8 – A low code AI/ML API deployment Platform2024 · github.com · ▲10

    Hi all, so I've been working on this low to no code platform that allows you to spin up deep learning workloads(I'm talking LLM's, Huggingface models, etc), interconnect a bunch of them, and deploy them as API's. The idea essentially came up early in September, when experimenting with combining a Huggingface based BERT model with an LLM at work, and I realized it would be cool if I could do that instantly(especially since it was a prototype). At the time, I was considering a platform that could essentially help you train deep learning models without any code. It was my observation that much…

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