rain-1

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

• Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

madchap

# get api token with proper perms, ensure full "repos" for private repo access.

$ export auth="Authorization: token 123345465hfghfghfghgfhgfhfg"
$ export org="your_org"

# get the last page in the Link header. github API limits per_page to 100. Anything over this will require pagination.
$ curl -I -H "$auth" https://api.github.com/orgs/$org/repos

# go over all pages. Put this in a script, and save it.
#!/bin/bash

msurovcak

%YAML 1.2
---
name:  JIRA and Confluence markup syntax
scope: source.atlassian-markup
license: MIT
variables:
  other_text_mods: '\^|\~|\?\?'
  projects: '(GD|PAAS)'
  icons: '\((!|\?|/)\)'
contexts:

rondy

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.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

russss

#!/usr/bin/env python
import socket
import sys 

if len(sys.argv) != 3:
    print "Usage: %s host:port destfile.jpg" % sys.argv[0]
    sys.exit(1)

s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
host, port = sys.argv[1].split(':')