All posts by cristianku
LLM Wiki: Andrej Karpathy’s Brilliant Idea to Build a Living Knowledge Base
A few weeks ago I discovered the LLM Wiki concept proposed by Andrej Karpathy, and it immediately resonated with many of the challenges I see in complex enterprise environments. Most organizations still struggle with fragmented knowledge: Software scattered across multiple repositories Outdated documents and wikis Analyst notes and undocumented processes Operational knowledge locked inside teams Traditional RAG…
Elon Musk’s Views on Universities and Industrial CAD/CAM: A Push for Self-Learning and Innovation
In today’s rapidly evolving tech landscape, aspiring engineers and designers often grapple with the choice between formal education in fields like mechatronics and self-taught paths, especially when it comes to mastering tools like Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM). Elon Musk, the visionary behind companies like Tesla, SpaceX, and xAI, has strong opinions on…
🔥 Skywalker Roaster Controller – Custom Interface with Arduino
🎯 Project Goal Build a professional-looking, fully functional controller for the Skywalker coffee roaster that integrates seamlessly with Artisan software. The box handles temperature sensing, PID logic, and commands via USB and Bluetooth. 🤖 What is a PID and Why It Matters in Roasting? Roasting coffee requires precise temperature control. If the heat rises too…
Deep Learning . Training with huge amount of data .PART2
If you read the first part we left at the point that we are goint to build a multi-thread, multiprocesses mechanism. CPU1: reads a big chunk from disk ( 3200 samples ), shuffle it, and insert a memory Buffer ( Queue) CPU2: the second one is the generator that extract a small amount from this…
Deep Learning . Training with huge amount of data .PART1
Performance considerationsI would like to put some consideration about Performance in Keras , in order to obtain the max GPU consideration.What we are going to do , is train a Keras Model.Here the number of images :Now we define a generator used to train in batch of 32 ( can be an other number ),…
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