metacritical

1. Siddhartha Gautama - This is the Buddha's given name at birth.
2. Shakyamuni - This name means "sage of the Shakya clan," referring to the Buddha's tribal affiliation.
3. Tathagata - This name means "thus gone" or "thus come" and is one of the titles of the Buddha.
4. Bhagavan - This name means "Blessed One" or "Exalted One" and is another title of the Buddha.
5. Sammasambuddha - This name means "fully self-enlightened Buddha" and is a title of the Buddha.
6. Gotama - This is another name for the Buddha's family or clan.
7. Sakyasimha - This name means "Lion of the Shakyas" and is a title of the Buddha.
8. Vipassi - This is the name of the Buddha who appeared in the world 91 kalpas (eons) ago.
9. Sikhi - This is the name of the Buddha who appeared in the world 71 kalpas ago.
10. Vessabhu - This is the name of the Buddha who appeared in the world 61 kalpas ago.

metacritical

Preview

metacritical

/* Client process that communicates with GNU Emacs acting as server.

Copyright (C) 1986-2023 Free Software Foundation, Inc.

This file is part of GNU Emacs.

GNU Emacs is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or (at
your option) any later version.

metacritical

Tiny corp master plan

Our mission is to “commoditize the petaflop.” By building an ML framework where the engineering cost to add a new accelerator is 10-100x lower than competitors, we lower the cost for new players to enter the market.

Similarly, we lower the cost of new operations and optimizers, allowing ML to avoid local minima. In older versions of PyTorch, batchnorm and groupnorm have very different performance. There’s no fundamental reason for this, it was just because more work had been put into the batchnorm kernels. In tinygrad, all the kernels are compiled on the fly so things like this won’t happen.

metacritical

#!/usr/bin/env ruby

# Function to calculate BMR
def calculate_bmr(gender, weight, height, age)
  if gender.downcase == 'male'
    return 88.362 + (13.397 * weight) + (4.799 * height) - (5.677 * age)
  else
    return 447.593 + (9.247 * weight) + (3.098 * height) - (4.330 * age)
  end
end

metacritical

ruby '2.7.1'

gem 'rails', github: 'rails/rails'
gem 'tzinfo-data', '>= 1.2016.7'  # Don't rely on OSX/Linux timezone data

# Action Text
gem 'actiontext', github: 'basecamp/actiontext', ref: 'okra'
gem 'okra', github: 'basecamp/okra'

# Drivers

metacritical

I am passionate about Ruby, but its execution time compared to other languages is extremely high, especially when we want to use more complex algorithms. In general, data structures in interpreted languages become incredibly slow compared to compiled languages. Some algorithms such as ´n-body´ and ´fannkuch-redux´ can be up to 30 times slower in Ruby than Go. This is one of the reasons I was interested in embedding Go code in a Ruby environment.

For those who do not know how shared libraries operate, they work in a similar way as DLLs in Windows. However, they have a native code with a direct interface to the C compiler.

Note Windows uses the DLL system, and in this case, this does not necessarily have to be in native code.

One example is DLLs written in C#, which runs on a virtual machine. Because I do not use windows, I ended up not testing if it is poss

metacritical

Installing pg 1.5.3 with native extensions Gem::Ext::BuildError: ERROR: Failed to build gem native extension.

brew install libpq
gem install pg -- --with-pg-config=/usr/local/opt/libpq/bin/pg_config

metacritical

var a = document.getElementsByClassName("VfPpkd-Bz112c-LgbsSe yHy1rc eT1oJ mN1ivc")
var i = 1; while(i <= a.length){ a[i].click(); i+=1 }

metacritical

# tutorial video link : https://youtu.be/dYt9xJ7dnpU
# colab link : https://colab.research.google.com/drive/1xSbu-b-EwYd6GdaFPRVgvXBX_mciZ41e?usp=sharing
# repo link : https://github.com/ai-forever/Kandinsky-2
# used repo commit hash : a4354c04d5fbd48851866ef7d84ec444d3d50102

# those who getting cuda error
# pip uninstall torch
# pip3 install torch==1.13.1 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117

import os