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| """ | |
| The most atomic way to train and inference a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
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| <template> | |
| <div | |
| class="relative flex items-top justify-center min-h-screen bg-gray-100 sm:items-center sm:pt-0" | |
| > | |
| <div class="max-w-4xl mx-auto sm:px-6 lg:px-8"> | |
| <div | |
| class="flex flex-col lg:flex-row items-center mt-8 bg-white overflow-hidden shadow sm:rounded-lg p-6" | |
| > | |
| <div | |
| class="w-44 h-44 flex items-center justify-center border-indigo-400 border-4 mr-4 rounded-full cursor-pointer" |
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| # OpenClaw Implementation Prompts | |
| Each prompt below is a self-contained brief you can hand to an AI coding assistant (or use as a project spec) to build that use case from scratch. Adapt the specific services to whatever you already use — the patterns are what matter. | |
| --- | |
| ## 1) Personal CRM Intelligence | |
| ``` | |
| Build me a personal CRM system that automatically tracks everyone I interact with, with smart filtering so it only adds real people — not newsletters, bots, or cold outreach. |
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