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#DEVDiscuss: Building Your Own AI πŸ€–

image created by Margaux Peltat for the Chilled Cow YouTube channel

Time for #DEVDiscuss β€” right here on DEV 😎

Inspired by @vincenius's Top 7 post, tonight’s topic is...building your own AI πŸ€–


  • Have you tried to build your own machine learning model or AI-based application?
  • What tools did you use to build it? What tools would you recommend, and which ones should devs stay away from?
  • For you, is working with ML models and AI a career, a hobby/interest, both, or neither?
  • Any triumphs, fails, or other stories you'd like to share on this topic?

Top comments (10)

ben profile image
Ben Halpern

I've now deployed production ML models and tapped into some of the OpenAI endpoints for certain uses β€” and I think I'm still just a "web dev", however, I do have some upgrades skills in terms of using and understanding these technologies.

Like β€” I didn't have to write any of this from scratch, I tapped into really useful dependencies I pulled into a project and learned to make the most of. Like anything, it takes some deep focus to get the hang of, but we are definitely in "standing on the shoulders of giants" territory.

Literally doing certain AI stuff "from scratch" is the work of world-leading-experts, but in a lot of ways my own work with these technologies is about as deep as my work with databases, where I really just get to know the abstractions and domain-specific languages I am provided.

vinosamari profile image
Vino Samari • Edited

I'm a "web dev" that's venturing into ML/AI and integrating it with Nuxt.js PWAs to achieve app-like experiences. I'd love to read/explore some of your use-cases or learning paths however possible that is. Thanks a lot.

ironcladdev profile image
Conner Ow

I've built and recently launched AmjadGPT last weekend.

As for tools/technologies, I used Langchain (js lib) and Next.js as the frontend UI.

AI is definitely a hobby, but I'm slowly intertwining it into my career and using it more at work.

brunoj profile image

I've played around with several open source libraries for various tasks. One thing that is critical: Have a use case in mind! I've found it really tough to wrap my head around some of this without a clear idea of a problem I could be solving. It doesn't have to be "real", but it should be concrete in your mind β€” otherwise it's hard to tell if the thing is working.

Generally I'd also say: Have an idea of how much data you need. Some tools require a lot of data, some actually work on relatively little.

fleker profile image

I built a browser extension that turned emoji art into accessible captions using Tensorflow. The ML inference worked well, but it would slow down the website a lot.

jonrandy profile image
Jon Randy πŸŽ–οΈ • Edited

Back in the late 80s I made some character recognition neural networks from scratch in ZX Spectrum BASIC πŸ”₯

codeofrelevancy profile image
Code of Relevancy

I would like to build my own AI like Jarvis πŸ”₯

parthprajapati profile image

I would like to build my own AI like Siri🀩