Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Everything is okay but you need to post a image for this post?? Seems for reach?
This is the kind of resource that can genuinely shorten the AI learning curve. Practical, production-ready projects always teach more than endless theory. Huge respect to Abhishek Veeramalla and Oracle for making advanced AI concepts more accessible to the community
You forgot to add Hyperlambda.dev The Best Solution for building AI Agents with every generated code said to be 100% mathematically correct. Being the only LLM AI Agent in the world with the most accurate fine-tuning model, it said to come at a fractional cost of 0.000001% of Claude AI. We should be expecting a tsunami of projects hitting the market just because a model got it right 👍
Helpful
If you GitHub repo is adding value to the developers' world. It will become goldmine soon
Thank you Abhi! 🙌🙌
The repository is really so valuable 👌
Git hub repo is really amazing. Thanks for sharing.
Hey abhi how about you & IT?
Shahryar Khan
Noman Haroon
Sure it will be added advantage if we learn how to use it
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 :
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