Sang Park likejazz

Which GGUF is right for me? (Opinionated)

Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggml-org/llama.cpp#5962

In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.

llama.cpp feature matrix

See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix

*2vec papers

act2vec, trace2vec, log2vec, model2vec https://link.springer.com/chapter/10.1007/978-3-319-98648-7_18
apk2vec https://arxiv.org/abs/1809.05693
app2vec http://paul.rutgers.edu/~qma/research/ma_app2vec.pdf
ast2vec https://arxiv.org/abs/2103.11614
attribute2vec https://arxiv.org/abs/2004.01375
author2vec http://dl.acm.org/citation.cfm?id=2889382
baller2vec https://arxiv.org/abs/2102.03291
bb2vec https://arxiv.org/abs/1809.09621

Most downloaded projects

SELECT
  file.project,
  COUNT(*) as total_downloads,
FROM
  TABLE_DATE_RANGE(
    [the-psf:pypi.downloads],
    TIMESTAMP("20160114"),

Mac OS X 10.11 El Capitan

Custom recipe to get OS X 10.11 El Capitan running from scratch, setup applications and developer environment. This is very similar (and currently mostly the same) as my 10.10 Yosemite setup recipe (as found on this gist https://gist.github.com/kevinelliott/0726211d17020a6abc1f). Note that I expect this to change significantly as I install El Capitan several times.

I use this gist to keep track of the important software and steps required to have a functioning system after a semi-annual fresh install. On average, I reinstall each computer from scratch every 6 months, and I do not perform upgrades between distros.

This keeps the system performing at top speeds, clean of trojans, spyware, and ensures that I maintain good organizational practices for my content and backups. I highly recommend this.

You are encouraged to fork this and modify it to your heart's content to match your own needs.

Build and install Google Test

Download the latest_ (1.7.0) from Google Code (Q: where is it going to live, once GCode shuts down?)

Then follow the primer_, but more to the point, the README (YMMV) Having installed CLion and cmake, this is how I built gtest:

brew install cmake
cd gtest-1.7.0

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!

\

OS X Screencast to animated GIF

This gist shows how to create a GIF screencast using only free OS X tools: QuickTime, ffmpeg, and gifsicle.

Instructions

To capture the video (filesize: 19MB), using the free "QuickTime Player" application:

	import numpy as np
	from keras.models import Sequential
	from keras.layers.core import Activation, Dense

	training_data = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
	target_data = np.array([[0],[1],[1],[0]], "float32")

	model = Sequential()
	model.add(Dense(32, input_dim=2, activation='relu'))
	model.add(Dense(1, activation='sigmoid'))

	<#ftl strip_whitespace=true>
	<#import "spring.ftl" as spring />
	<#-- This file contains form-related macros for use in the other Freemarker template files.
	The generated HTML is intended for use with Twitter Bootstrap based forms. -->


	<#--
	* radioButtons
	*
	* @param path the name of the field to bind to