I’ve been experimenting with setting up a DIY AI stack on my own machine instead of relying fully on cloud-based tools. It’s been a mix of fun, frustration, and learning, but I’m loving the control it gives me.
⚠️ Some things I’ve explored so far:
✔Running open-source LLMs locally 🖥️
✔Using lightweight frameworks for inference
✔Managing resources with Docker & GPUs
✔Finding the right balance between speed and accuracy
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