micrograd++: A 500 line C++ Machine Learning Library Gautam Sharma Independent Researcher gautamsharma2813@gmail.com Abstract—micrograd++ is a pure C++ machine learning li- brary inspired by Andrej Karpathy’s short. When clobbered into a single file by removing all the comments, micrograd++ comes out to be < 500 lines. When compiled with the highest optimization -O3, the static library comes out to be 122KB. Currently

s = 2 500 μs 32.1Unit-aware inverses https://aurora-opensource.github.io/au/main/reference/math/#inverse-functions f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs 32 io/au/main/reference/math/#inverse-functions f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs Solve for (units of) 1... 32.3Unit-aware inverses https://aurora-opensource #inverse-functions f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs Solve for (units of) 1... 1 = Tf = (2 500 [μs])(400[Hz]) = 1 000 000[μs ⋅ Hz] = 1 000 000[1/1 000

more than 2000 having just a single sample, over 1200 individuals with two samples, and more than 500 individuals with three samples. As opposed to the previous examples, whale data collection is trickier val_loss: 12.6783 - val_accuracy: 0.5402 Epoch 2/100 43/43 [==============================] - 29s 500ms/step - loss: 2.5899 - accuracy: 0.8353 - val_loss: 6.2555 - val_accuracy: 0.6922 xxxxxxxxx Skip val_loss: 3.9962 - val_accuracy: 0.8049 Epoch 41/100 43/43 [==============================] - 29s 500ms/step - loss: 0.0035 - accuracy: 0.9980 - val_loss: 3.9918 - val_accuracy: 0.8069 Epoch 42/100

Searches, B ChatGPT Hit 365B Annual Searches in 2 Years (2024) vs. Google’s 11 Years (2009) 0 2,500 5,000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 Google Search ChatGPT test, introduced in 1950, measures a machine’s ability to mimic human conversation. In this study, ~500 participants engaged in a three-party test format, interacting with both a human and an AI. Most discussions of audio content and the company’s tools have been adopted by employees at over 60% of Fortune 500 companies. - ElevenLabs Press Release, 1/25 AI Development Trending = Unprecedented ElevenLabs Monthly

X4500两台，每台含2路dual-core CPU 共4core， 16GB；SUN X4200一台，2路dual-core CPU 共4core，8GB – 存储平台：每台X4500中各48块500GB硬盘，共96 * 500GB – 网络平台：每台X4500和X4200上各有4块千兆网卡 – 软件平台：Solaris 10 ＋ GreenPlum v3.1 Beta – 应用软件：SQL语句 • 数据导入测试 (ODBC) Load Universe Universe $0.00 $500,000.00 $1,000,000.00 $1,500,000.00 $2,000,000.00 $2,500,000.00 $3,000,000.00 $3,500,000.00 $4,000,000.00 $4,500,000.00 0 5,000 10,000 15,000 20,000 fs_zh_cdfispad; 36396887 64.4s 37528247 2.3s 28 select sum(case when zfje>50 then 1000 when zfje>500 then 500 else 0 end ) from stage.fs_zh_cdfispad; 36358806000 54.0s 37488884000 2.5 21.6x 案例分享：安吉物流

different screen sizes: In src="dog.png" alt="A picture of a dog" sizes="(max-width: 500px) 100vw, (max-width: 900px) 50vw, 800px" srcset=" dog-500.png 500w, dog-800.png 800w, dog-1000.png 1000w, dog-1400.png 1400w " /> In this example the (max-width: 500px) 100vw, (max-width: 900px) 50vw, 800px string in the sizes attribute describes the size of the image in relation to the viewport

disk_total{app="clickhouse"}/1024/1024/1024 < 500 磁盘利用率大于70%就告警，对于盘不大的情况是适用的，如果盘太大，比如16T一块盘，使用 率70%还有非常大的余量，所以这里我们使用and附加一个条件，限制一下disk_total，即磁盘 总大小，磁盘总大小小于500GB，才适用磁盘利用率大于70%这个规则。 or vector1 or vect code="500"} 24 method_code:http_errors:rate5m{method="get", code="404"} 30 method_code:http_errors:rate5m{method="put", code="501"} 3 method_code:http_errors:rate5m{method="post", code="500"} 6 3 34 method:http_requests:rate5m{method="post"} 120 ## promql method_code:http_errors:rate5m{code="500"} / ignoring(code) method:http_requests:rate5m ## result {method="get"} 0.04 // 24

simple request is made and checked for a 200 OK status_code. If rendering failed, Flask would return a 500 Internal Server Error code. headers will have a Location header with the login URL when the register subclasses show a generic message about their code, while other exceptions are converted to a generic 500 Internal Server Error. For example, if an instance of ConnectionRefusedError [https://docs.python return e # now you're handling non-HTTP exceptions only return render_template("500_generic.html", e=e), 500 Error handlers still respect the exception class hierarchy. If you register handlers

simple request is made and checked for a 200 OK status_code. If rendering failed, Flask would return a 500 Internal Server Error code. headers will have a Location header with the login URL when the register subclasses show a generic message about their code, while other exceptions are converted to a generic 500 Internal Server Error. For example, if an instance of ConnectionRefusedError is raised, and a handler HTTPException): return e # now you're handling non-HTTP exceptions only return render_template("500_generic.html", e=e), 500 Error handlers still respect the exception class hierarchy. If you register handlers

\n"); while (not flag) { } std::printf("Flag changed\n"); }); std::this_thread::sleep_for(500ms); std::printf("Setting flag\n"); flag = true; t.join(); std::printf("Done\n"); } Loop example \n"); while (not flag) { } std::printf("Flag changed\n"); }); std::this_thread::sleep_for(500ms); std::printf("Setting flag\n"); flag = true; t.join(); std::printf("Done\n"); } Loop example \n"); while (not flag) { } std::printf("Flag changed\n"); }); std::this_thread::sleep_for(500ms); std::printf("Setting flag\n"); flag = true; t.join(); std::printf("Done\n"); } Loop example