| #!/bin/sh | |
| # rename-pictures.sh | |
| # Author: Justine Tunney <jtunney@gmail.com> | |
| # License: Apache 2.0 | |
| # | |
| # This shell script can be used to ensure all the images in a folder | |
| # have good descriptive filenames that are written in English. It's | |
| # based on the Mistral 7b and LLaVA v1.5 models. | |
| # | |
| # For example, the following command: |
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.
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.
| - 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. |
| ALL | |
| All messages in the mailbox; the default initial key for | |
| ANDing. | |
| ANSWERED | |
| Messages with the \Answered flag set. | |
| BCC | |
| Messages that contain the specified string in the envelope | |
| structure's BCC field. |
As of version 3.3, python includes the very promising concurrent.futures module, with elegant context managers for running tasks concurrently. Thanks to the simple and consistent interface you can use both threads and processes with minimal effort.
For most CPU bound tasks - anything that is heavy number crunching - you want your program to use all the CPUs in your PC. The simplest way to get a CPU bound task to run in parallel is to use the ProcessPoolExecutor, which will create enough sub-processes to keep all your CPUs busy.
We use the context manager thusly:
with concurrent.futures.ProcessPoolExecutor() as executor:
| [database] | |
| path=/home/USER/mail | |
| [user] | |
| name=MyName MySurname | |
| primary_email=me@example.com | |
| other_email=me@example.org | |