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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Should be illegal to give it all this value for free😅
Thanks mahn🤍🫡
Great resources
Azeem Ullah
👏👏
I simplified checking open port on linux: please watch and share : https://lnkd.in/egiN4uSK
Github repos are now the hidden gold mines. Alot of resources lie in there, which people don't know
I completed my master's degree in Mass communication and journalism, not yet get job, please let reference me
Thank you for sharing ✨️
Thank you for sharing
Woww
This is amazing
This is really valuable and thanks for taking time to break it down. Welldone Abhishek Veeramalla
This is truly amazing
Most people say “AI is hard” but they’ve never actually opened the places where it’s being built
This looks valuable, thanks for sharing Abhishek Veeramalla
Thank you for sharing
Thank you Oracle for making this resource open and easily accessible Abhishek Veeramalla
Abhishek Veeramalla, Wish I had come across this earlier. All these resources and they're free? Wow, this indeed is a goldmine. Definitely checking this out, thanks for sharing this😁.
The shift from isolated tutorials to open-sourcing actual enterprise-grade, production-ready architectures is exactly what the AI engineering ecosystem needs right now, Abhishek Veeramalla.
Building a basic wrapper is easy, but managing persistent memory, multi-agent reasoning, and scalable vector DB implementations in the real world is where the real friction lies. Oracle open-sourcing a blueprint that bridges this gap is a massive win for solo builders and teams trying to deploy robust, working systems.
Thanks for sharing this absolute goldmine! 🚀🔥
This is a valuable resources that will enhance learning.
Wow this is amazing, thank you for sharing this useful information.
I tried github repository, it works really well