Lj Miranda ljvmiranda921

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

Build docker image

$ cd /path/to/Dockerfile
$ sudo docker build .

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This guide has moved to a GitHub repository to enable collaboration and community input via pull-requests.

https://github.com/alexellis/k8s-on-raspbian

Alex

Build docker image

$ cd /path/to/Dockerfile
$ sudo docker build .

View running processes

	using namespace System.Management.Automation
	using namespace System.Management.Automation.Language

	if ($host.Name -eq 'ConsoleHost')
	{
	Import-Module PSReadLine
	}
	#Import-Module PSColors
	#Import-Module posh-git
	Import-Module -Name Terminal-Icons

	# install latest nvidia driver


	sudo add-apt-repository ppa:graphics-drivers/ppa
	sudo apt-get update

	# then go to device manager and dl newest driver
	# nvidia-390 for linux >4.13.32 \| there is a bug with <nvidia-390 & >linux 4.13.25

	import json
	import ogr

	driver = ogr.GetDriverByName('ESRI Shapefile')
	shp_path = r'C:\GIS\Temp\Counties.shp'
	data_source = driver.Open(shp_path, 0)

	fc = {
	'type': 'FeatureCollection',
	'features': []

	# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software
	# distributed under the License is distributed on an "AS IS" BASIS,

	"""
	This is free and unencumbered software released into the public domain.

	Anyone is free to copy, modify, publish, use, compile, sell, or
	distribute this software, either in source code form or as a compiled
	binary, for any purpose, commercial or non-commercial, and by any
	means.

	In jurisdictions that recognize copyright laws, the author or authors
	of this software dedicate any and all copyright interest in the

	# Below are the dependencies required for installing the common combination of numpy, scipy, pandas and matplotlib
	# in an Alpine based Docker image.
	FROM alpine:3.4
	RUN echo "http://dl-8.alpinelinux.org/alpine/edge/community" >> /etc/apk/repositories
	RUN apk --no-cache --update-cache add gcc gfortran python python-dev py-pip build-base wget freetype-dev libpng-dev openblas-dev
	RUN ln -s /usr/include/locale.h /usr/include/xlocale.h
	RUN pip install numpy scipy pandas matplotlib