AI Practical Use #3#: Let AI help you with Excel data analysis. AI 实用玩法第 3 个： 让 AI 帮你做 Excel 数据分析。 Here is a very common office situation: You have an Excel file with sales data, costs, profit, regions, products, and dates. Normally, you may spend 2 hours writing formulas, checking data, making summaries, and building charts. But with AI, you can finish the first draft in about 10 minutes. 一个很常见的办公场景： 你手里有一份 Excel 数据， 里面有销售额、成本、利润、区域、产品、日期。 以前你可能要花 2 小时： 写公式、查数据、做汇总、看趋势、做图表。 现在可以先交给 AI， 10 分钟生成初步分析结果。 You don’t need to manually type every complex formula. Let AI help you: Build formulas Summarize key findings Find abnormal data Compare trends Suggest chart formats Create a report structure 你不需要自己一个个输入复杂函数。 可以让 AI 帮你： 生成公式 总结关键结论 找出异常数据 对比趋势变化 建议图表形式 生成汇报框架 Here is a simple prompt: 这里有一个简单提示词： Please analyze this Excel data. Help me build the right formulas, summarize the key findings, find possible errors or abnormal values, and suggest the best chart or report format. I will review and verify the final results. 中文版本： 请分析这份 Excel 数据。 帮我生成合适的公式，总结关键结论，找出可能的错误或异常值，并建议最适合的图表或汇报格式。 最终结果由我来审核确认。 The key idea is simple: AI does the heavy first draft. You review the logic and final result. 核心思路很简单： AI 负责先把复杂工作做出来， 你负责审核逻辑和最终结果。 Before: 2 hours manually writing formulas. After: 10 minutes with AI assistance. 以前： 手动写公式、做分析，可能要 2 小时。 现在： 借助 AI，10 分钟先完成初稿。 AI is not here to replace your judgment. It helps you save time on repetitive work, so you can focus on checking, thinking, and making better decisions. AI 不是替代你的判断力。 它是帮你节省重复劳动的时间， 让你把精力放在审核、思考和决策上。 Let AI write the formulas. You review the results. 让 AI 写公式， 你负责审核结果。 That is a smarter way to work. 这才是更聪明的办公方式。 #ChatGPT# #AI# #AITools# #Excel# #ExcelTips# #DataAnalysis# #Productivity# #WorkSmarter# #OfficeWork# #BusinessTools# #Automation# #DigitalTools# #TechTips# #FutureOfWork# #PromptEngineering#

This is the most powerful workstation in the world. Designed and engineered for a completely new era of computing. A machine capable of running AI models with more than a trillion parameters right on your desk. We call it the Threadripper Halo Station. • 96 cores of Threadripper PRO • 2 MI350P Instinct accelerators with a path to 4 • Up to 2 TB of system memory • Up to 576 GB of HBM3e • Liquid cooled so all that power stays super quiet This is about as close as you can get to a personal supercomputer.

🤯 This entire 64GB AMD AI workstation cost its builder LESS than a single RTX 5090 and Qwen3.8-27B is hitting 111 tok/s. This is the kind of rig that makes me want to build it because RTX 5090s are so expensive. Setup 👇 🟠 2× Radeon AI PRO R9700 32GB 💾 64GB total dedicated VRAM 🧠 Ryzen 7500F 💾 64GB DDR5 🔌 PCIe 5.0 x8 per GPU ⚡ vLLM Radiance + TP2 + MTP Running Qwen3.8-27B Quark AWQ MXFP4 ... 🚀 111.4 tok/s median decode ⚡ 4,224–4,410 tok/s prefill ⏱️ 81ms TTFT 📚 131K server context Native FP8 still managed 87.6 tps 🎮 RTX 5090 → 32GB VRAM 🟠 2× R9700 → 64GB VRAM The builder says the entire machine cost ~€4,000, more than €1,000 less than a single RTX 5090 in his market. So for less money, he ended up with 2× the VRAM + 111 tok/s on Qwen3.8-27B. 🔥 Reddit Link in ALT