FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
| (use-package company | |
| :ensure t | |
| :custom | |
| (company-quickhelp-delay 0) | |
| (company-tooltip-align-annotations t) | |
| :hook | |
| ((prog-mode utop-mode) . company-mode) | |
| :config | |
| (company-quickhelp-mode 1) | |
| :bind |
| [database] | |
| path=/home/USER/mail | |
| [user] | |
| name=MyName MySurname | |
| primary_email=me@example.com | |
| other_email=me@example.org | |
| rm(list = ls()) #reset the environment | |
| library(tidyverse) | |
| library(lubridate) | |
| library(mgcv) | |
| exponent_weight <- function(i) { | |
| exp(-0.04*i) | |
| } | |
| TODAY_DAY <- difftime(Sys.Date(),as.Date("2017-01-21")) |
| import std.range; | |
| struct StackFrame(T) | |
| { | |
| StackFrame* prev; | |
| T range; | |
| } | |
| struct StackRange(T, alias recurse) if (isInputRange!(typeof(recurse(T.init)))) | |
| { |
| - Specific Notmuch filters (and saved-searches) for: | |
| + The Feed (newsletters, blogs) | |
| + The Paper trail (receipts, ledger) | |
| + Screened Inbox (mail from folks you actually want to read) | |
| + Previously Seen (important mail that you've already read) | |
| + Unscreened Inbox (potential spam / stuff you don't want) | |
| - Elisp Functions to move / categorize emails from a particular sender. | |
| + Adds tags needed by filters defined above to all email sent by a particular sender | |
| + Creates an entry in a DB file, which is used by the Notmuch post-new script when indexing new email, to auto-add the relevant tags. |
| - install the two shellscripts into the appropriate places under /etc/initramfs-tools | |
| - run update-initramfs | |
| - put "overlay=yes" on the kernel command line | |
| - reboot | |
| With the overlay in place, the real root is mounted readonly on /ro. | |
| Only the root fs is changed, other filesystems are mounted normally. | |
| Remove "overlay=yes" (or change it to something other than yes) and reboot to go back to readwrite. | |
| (This probably means that you want the commandline config to live somewhere other than on the root fs, e.g. under /boot) |
ChatGPT appeared like an explosion on all my social media timelines in early December 2022. While I keep up with machine learning as an industry, I wasn't focused so much on this particular corner, and all the screenshots seemed like they came out of nowhere. What was this model? How did the chat prompting work? What was the context of OpenAI doing this work and collecting my prompts for training data?
I decided to do a quick investigation. Here's all the information I've found so far. I'm aggregating and synthesizing it as I go, so it's currently changing pretty frequently.
| import time | |
| from contextlib import suppress | |
| import torch | |
| import torch.nn as nn | |
| import torch.optim as optim | |
| import torch.nn.functional as F | |
| import torch.backends.cuda as cuda | |
| from torch.utils.data import DataLoader, IterableDataset |
