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Ahmad Farhan Ishraq
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Challenges to deploy ML models as an API?
So I'm building a low code tool to help users launch ML models via a flowchart like UI. Very early stages, but the main idea behind it is to make AI more accessible. As a ML engineer, I often come around discussions that for many ML engineers, getting their models off their jupyter notebook is a challenge. Where do you guys stand on it?
Ahmad Farhan Ishraq
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Documentation is now live at https://otto-m8.com
Otto-m8
A configurable flowchart to deploy AI/ML workloads
Ahmad Farhan Ishraq
left a comment
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...
Otto-m8
A configurable flowchart to deploy AI/ML workloads
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
A configurable flowchart to deploy AI/ML workloads