Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
var noteValues = { | |
'C0': 16.35, | |
'C#0': 17.32, | |
'Db0': 17.32, | |
'D0': 18.35, | |
'D#0': 19.45, | |
'Eb0': 19.45, | |
'E0': 20.60, | |
'F0': 21.83, | |
'F#0': 23.12, |
production: | |
after_rails: | |
- source: /.cloud66/log_files.yml | |
destination: /etc/log_files.yml | |
sudo: true | |
target: rails | |
apply_during: build_only | |
- source: /.cloud66/remote_syslog.init.d | |
destination: /etc/init.d/remote_syslog |
# config/initializers/instrumentation.rb | |
# Subscribe to grape request and log with Rails.logger | |
ActiveSupport::Notifications.subscribe('grape.request') do |name, starts, ends, notification_id, payload| | |
Rails.logger.info '[API] %s %s (%.3f ms) -> %s %s%s' % [ | |
payload[:request_method], | |
payload[:request_path], | |
(ends-starts)*1000, | |
(payload[:response_status] || "error"), | |
payload[:x_organization] ? "| X-Org: #{payload[:x_organization]}" : "", |
Selectize.define('selectable_placeholder', function( options ) { | |
var self = this; | |
options = $.extend({ | |
placeholder: self.settings.placeholder, | |
html: function ( data ) { | |
return ( | |
'<div class="selectize-dropdown-content placeholder-container">' + | |
'<div data-selectable class="option">' + data.placeholder + '</div>' + | |
'</div>' |
require 'active_record' | |
require 'activerecord-import' | |
require 'benchmark' | |
require 'pg' | |
include ActiveRecord | |
Base.establish_connection adapter: 'postgresql', | |
encoding: 'unicode', | |
pool: 5, |