willccbb

# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer

jamesmoriarty

require 'socket'

listen_socket = TCPServer.new('127.0.0.1', 9292)

client_conn = listen_socket.accept
request_line = client_conn.gets

while(line = client_conn.gets) do
  break unless line.include?(':')
end

imantung

package main

import (
	"fmt"
	"go/ast"
	"go/parser"
	"go/token"
)

var src = `package mypackage

IanColdwater

Mute these words in your settings here: https://twitter.com/settings/muted_keywords

ActivityTweet
generic_activity_highlights
generic_activity_momentsbreaking
RankedOrganicTweet
suggest_activity
suggest_activity_feed
suggest_activity_highlights
suggest_activity_tweet

gregbuehler

---
version: "3"
services:
  # utility
  ouroboros:
    image: pyouroboros/ouroboros
    container_name: ouroboros
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    environment:

robrichard

const express = require('express');
const bodyParser = require('body-parser');
const graphqlHTTP = require('express-graphql');

const app = express();
app.use(bodyParser.json());

async function getPersistedQueryMiddleware(req, res, next) {
  if (!req.body.id) {
    next();

milesbxf

###################################################
##
## Alertmanager YAML configuration for routing.
##
## Will route alerts with a code_owner label to the slack-code-owners receiver 
## configured above, but will continue processing them to send to both a
## central Slack channel (slack-monitoring) and PagerDuty receivers
## (pd-warning and pd-critical)
##

mohanpedala

Table of Contents

• set -e, -u, -x, -o pipefail
• set -e
• set -x
• set -u
• set -o pipefail
• Setting IFS
• Original Reference

set -e, -u, -x, -o pipefail

nadavrot

High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).

Intro

Matrix multiplication is a mathematical operation that defines the product of

jed

#!/bin/sh

aws cloudformation deploy \
  --template-file stack.yaml \
  --stack-name edge-lambda-test \
  --capabilities CAPABILITY_IAM \
  --parameter-overrides Nonce=$RANDOM