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The $100 NanoChat: Karpathy’s Lean LLM Pipeline
We dive into Andrej Karpathy’s NanoChat project—a compact, hackable end-to-end LLM pipeline built on a tight budget. From 560M-parameter pretraining to supervised fine-tuning, tool use, and a sub-$100 cloud run, we unpack the philosophy of cognitive accessibility, the lean 8,300-line codebase, and what this teaches about readability, accessibility, and scalable AI on a budget.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC
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By Mike BreaultWe dive into Andrej Karpathy’s NanoChat project—a compact, hackable end-to-end LLM pipeline built on a tight budget. From 560M-parameter pretraining to supervised fine-tuning, tool use, and a sub-$100 cloud run, we unpack the philosophy of cognitive accessibility, the lean 8,300-line codebase, and what this teaches about readability, accessibility, and scalable AI on a budget.
Note: This podcast was AI-generated, and sometimes AI can make mistakes. Please double-check any critical information.
Sponsored by Embersilk LLC