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.
Locate the section for your github remote in the .git/config
file. It looks like this:
[remote "origin"]
fetch = +refs/heads/*:refs/remotes/origin/*
url = git@github.com:joyent/node.git
Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/*
to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:
/* | |
ptr_inspect.c | |
Demonstration code; shows how to trace the system calls in a child | |
process with ptrace. Only works on 64-bit x86 Linux for now, I'm | |
afraid. (Even worse, it's only tested on Linux 2.6....) | |
The callname() function looks clunky and machine-generated because it | |
*is* clunky and machine-generated. | |
package main | |
import ( | |
"log" | |
"net" | |
"os" | |
"os/signal" | |
"sync" | |
"syscall" | |
"time" |
apk2layer
flattens an alpine linux package(s) and its dependencies into a standalone tarball.
apk2layer [-mirror] PKGNAME... > layer.tar
package main | |
import ( | |
"context" | |
"fmt" | |
"io/ioutil" | |
"os" | |
"github.com/containerd/containerd/content/local" | |
"github.com/containerd/containerd/images" |
This project has moved to https://github.com/jonhoo/drwmutex so it can be imported into Go applications.