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I'm building a transformer from scratch and my attention scores are all going to zero after softmax — I think my scaling is wrong but I'm not sure why we divide by sqrt(d_k)
I'm trying to fine-tune Llama on my own dataset but my GPU keeps running out of memory — I heard LoRA can help but I don't understand what it actually changes vs full fine-tuning
How does CLIP connect vision and language? I get that it learns embeddings but I don't understand how you train on image-text pairs without any labeled categories
I want to build an AI agent that can browse the web and fill out forms — how do ReAct-style agents decide when to think vs when to act, and what stops them from looping forever?