XMasterrrr
Joined 7 years ago
Joined 7 years ago
I've been neck-deep in AI and LLMs for a while now, and I kept running into the same problem: every learning resource out there for LLMs either tries to teach you all of deep learning from scratch, or throws you into a sea of random “awesome-LLM” repos, hoping you can connect the dots yourself.
So, I wrote up the roadmap I wish existed a year ago: how to actually learn LLMs and build real things, with none of the bloat. It's geared towards folks with a CS (or practical programming) background who want to skip the endless ML prerequisites and get their hands dirty. The approach:
- Concepts first, then phases, then resources/tools - Each phase has concrete projects (build an autograd engine, write a mini-GPT, fine-tune with LoRA, etc) - The goal is to get you actually building and shipping, not just watching lectures
Hope you guys find it useful.
-Ahmad
Checkout the demo they have below
This is my second blogpost, and in this one: SWE Agentic Framework – think of it as the puppet master for coders plus Replit's next nemesis. MoEs – imagine a team of AI experts, each shouting answers when it's their topic. Quantizations & Mixed Precision – turning AI from gourmet to fast food without losing the flavor. Batch Inference – AKA AI's quiz night, answering all questions at once. LLM Architectures – blueprints for our chatty AI friends. vLLM and Tensor Parallelism – or the thing that makes big AI models run lean. DeepSeek v2.5 – our open weights savior. Embedding Models – translating human words into AI-understandable numbers. Speculative Decoding – or AI's attempt at mind-reading, guessing your sentences before you finish them.
In the next blogpost I plan on addressing the main pain points of the hardware build and following up on the most-asked questions I received on the first one. I apologize for taking so long to get that out there, but it is taking me more than I expected to properly cover everything I want.
Please let me know if you have any comments or questions, and always feel free to reach out either here or via the social links on my website.
Cooling is its own story... Man, figuring out this process was hella of a journey
Blog: https://www.ahmadosman.com
X/Twitter: https://x.com/TheAhmadOsman
GitHub: https://github.com/TheAhmadOsman/
LinkedIn: https://www.linkedin.com/in/TheAhmadOsman/
Email: me - at ~ ahmadosman.com