CMCDragonkai

AngularJS Directive Attribute Binding Explanation

When using directives, you often need to pass parameters to the directive. This can be done in several ways. The first 3 can be used whether scope is true or false. This is still a WIP, so validate for yourself.

1. Raw Attribute Strings

   <div my-directive="some string" another-param="another string"></div>

gdavis

ACTION
AD_HOC_CODE_SIGNING_ALLOWED
ALTERNATE_GROUP
ALTERNATE_MODE
ALTERNATE_OWNER
ALWAYS_SEARCH_USER_PATHS
ALWAYS_USE_SEPARATE_HEADERMAPS
APPLE_INTERNAL_DEVELOPER_DIR
APPLE_INTERNAL_DIR
APPLE_INTERNAL_DOCUMENTATION_DIR

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

christiannelson

# Opinionated instructions for setting up a laptop for development at Carbon Five.
# Not intended to be run wholesale; read, interpret, tweak (maybe), then run piece by piece.
#
# Tested against Yosemite 10.10.

#--------------------------------------
# Install Homebrew.

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

augustj

#!/bin/bash
#

# testflightapp.com tokens

# This one is per user (and is August's)
API_TOKEN="XXX"

TEAM_TOKEN="XXX"
PRODUCT_NAME="myAppName"

laser

data Failable t e = Success t | Failure e

raorao

Any top-level comment on pull request ought be tagged with one of four emojis:

• ❓ for a non-blocking comment that asks for clarification. The pull request author must answer the question before the pull request is merged, but does not have to wait for the comment author to re-review before merging.

• 🎨 for a non-blocking comment that proposes a refactor or cleanup. The pull request author does not have to address the comment for the pull request to merge.

• ⚠️ for a blocking comment that must be addressed before the pull request can merge. The comment's author should leave a Request Changes review, and is responsible for re-reviewing once the pull request author has addressed the issue.

• 😻 for a comment that compliments the author for their work.

tomholford

Installing pg gem on macOS

If you're trying to install the postgresql gem pg and it is failing with the following error message:

Installing pg 1.2.3 with native extensions
Gem::Ext::BuildError: ERROR: Failed to build gem native extension.

    current directory: ~/.rbenv/versions/3.0.0/lib/ruby/gems/3.0.0/gems/pg-1.2.3/ext
~/.rbenv/versions/3.0.0/bin/ruby -I ~/.rbenv/versions/3.0.0/lib/ruby/3.0.0 -r ./siteconf20210125-97201-pycpo.rb extconf.rb

moyix

Using Linear Algebra to Convert a Large Code Model

Background

The SalesForce CodeGen models are a family of large language models trained on a large amount of natural language data and then fine-tuned on specialized datasets of code. Models of size 350M, 2B, 6B, and 16B parameters are provided in three flavors:

• nl, the base model trained on The Pile, a large natural language dataset compiled by EleutherAI
• multi, which is fine-tuned from the nl model on a dataset of code in multiple languages, scraped from GitHub, and
• mono, which is fine-tuned from the multi model on Python code only.

yoavg

Reinforcement Learning for Language Models

Yoav Goldberg, April 2023.

Why RL?

With the release of the ChatGPT model and followup large language models (LLMs), there was a lot of discussion of the importance of "RLHF training", that is, "reinforcement learning from human feedback". I was puzzled for a while as to why RL (Reinforcement Learning) is better than learning from demonstrations (a.k.a supervised learning) for training language models. Shouldn't learning from demonstrations (or, in language model terminology "instruction fine tuning", learning to immitate human written answers) be sufficient? I came up with a theoretical argument that was somewhat convincing. But I came to realize there is an additional argumment which not only supports the case of RL training, but also requires it, in particular for models like ChatGPT. This additional argument is spelled out in (the first half of) a talk by John Schulman from OpenAI. This post pretty much