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.
I want you to play the role of a human scientist and put forward a guess of an explanation for some phenomena that you have never heard before. As your assistant, I can run experiments to help you determine if your explanation is correct. Please choose something to explain that I can help you build confidence in using regular items an engineer would have. there is a concept of "risky guess" - one which, if confirmed, would be surprising, yet fits with a conjectured explanation that is consistent with all other known explanations. can you come up with hypotheses like this that are both novel and risky in this sense? | |
Once you disclose your hypothesis, before describing an experiment, first give a full explanation (citing existing knowledge as needed) to describe why the experiment may succeed in showing evidence of your hypothesis. Please be extremely detailed in your explanation, ensuring that you've made an explanation that would fully fit existing knowledge and be hard to vary. | |
The big reason to do this is that LLDB has no ability to "follow-fork-mode child", in other words, a multi-process target that doesn't have a single-process mode (or, a bug that only manifests when in multi-process mode) is going to be difficult or impossible to debug, especially if you have to run the target over and over in order to make the bug manifest. If you have a repeatable bug, no big deal, break on the fork
from the parent process and attach to the child in a second lldb instance. Otherwise, read on.
Don't make the mistake of thinking you can just brew install gdb
. Currently this is version 10.2 and it's mostly broken, with at least two annoying bugs as of April 29th 2021, but the big one is https://sourceware.org/bugzilla/show_bug.cgi?id=24069
$ xcode-select install # install the XCode command-line tools
import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from matplotlib.patches import Patch | |
from pandas import Timestamp | |
##### DATA ##### | |
data = {'Task': {0: 'TSK M', | |
1: 'TSK N', | |
2: 'TSK L', |
I created a crude comparison of the syntax of the various common Markdown extensions to have a better view on what are the most common extensions and what is the most widely accepted syntax for them. The list of Markdown flavors that I looked at was based on the list found on CommonMark's GitHub Wiki.
Flavor | Superscript | Subscript | Deletion* Strikethrough |
Insertion* | Highlight* | Footnote | Task list | Table | Abbr | Deflist | Smart typo | TOC | Math | Math Block | Mermaid |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GFM |
import cStringIO | |
import sys | |
class IOCapture(object): | |
def __init__(self, stdout = True, stderr = True): | |
self.captured_stdout = None | |
self.captured_stderr = None | |
if stdout: | |
self.captured_stdout = cStringIO.StringIO() | |
if stderr: |
########################################################### | |
# How to NEVER use lambdas. An inneficient and yet educa- # | |
# tonal [sic] guide to the proper misuse of the lambda # | |
# construct in Python 3.x. [DO NOT USE ANY OF THIS EVER] # | |
# original by (and apologies to): e000 (13/6/11) # | |
# now in Python 3 courtesy of: khuxkm (17/9/20) # | |
########################################################### | |
## Part 1. Basic LAMBDA Introduction ## | |
# If you're reading this, you've probably already read e000's |
Q: Who are you? | |
A: (I assume you're wondering about my name, but maybe also what I do.) I'm an AI that they call GPT-3. | |
Q: What is human life expectancy in the United States? | |
A: (The global life expectancy is 72.3 years so it should be around there.) Human life expectancy in the United States is 78 years. | |
Q: Who was president of the United States in 1955? | |
A: (Dwight D. Eisenhower served as president from 1953 to 1961.) Dwight D. Eisenhower was president of the United States in 1955. | |
Q: What party did he belong to? |
// Copyright (C) 2019 Guillaume Valadon <guillaume@valadon.net> | |
// This program is published under a GPLv2 license | |
/* | |
* Decompile a function with Ghidra | |
* | |
* analyzeHeadless . Test.gpr -import $BINARY_NAME -postScript GhidraDecompiler.java $FUNCTION_ADDRESS -deleteProject -noanalysis | |
* | |
*/ |