dlivingstone

#include <iostream>
#include <fstream>

// Windows specific: Uncomment the following line to open a console window for debug output
#if _DEBUG
#pragma comment(linker, "/subsystem:\"console\" /entry:\"WinMainCRTStartup\"")
#endif

// Simple OpenGL GLM/SDL demo
// Renders a rotating pyramid, showing 3 of 4 sides (allowing back faces to be seen)

yosssi

1. Nginx

$ wrk -t12 -c400 -d2s http://127.0.0.1:8080
Running 2s test @ http://127.0.0.1:8080
  12 threads and 400 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     7.71ms    3.16ms  23.05ms   69.17%
    Req/Sec     3.44k     1.98k    7.80k    58.22%
  63697 requests in 2.00s, 17.86MB read

denji

Moved to git repository: https://github.com/denji/golang-tls

Generate private key (.key)

# Key considerations for algorithm "RSA" ≥ 2048-bit
openssl genrsa -out server.key 2048

# Key considerations for algorithm "ECDSA" ≥ secp384r1
# List ECDSA the supported curves (openssl ecparam -list_curves)

sverrirs

using System;
using System.Runtime.InteropServices;
// ReSharper disable SuspiciousTypeConversion.Global
// ReSharper disable InconsistentNaming

namespace VideoPlayerController
{
    /// <summary>
    /// Controls audio using the Windows CoreAudio API
    /// from: http://stackoverflow.com/questions/14306048/controling-volume-mixer

thomasdarimont

package de.tdlabs.keycloak.client;

import com.fasterxml.jackson.databind.ObjectMapper;
import org.keycloak.OAuth2Constants;
import org.keycloak.RSATokenVerifier;
import org.keycloak.admin.client.Keycloak;
import org.keycloak.admin.client.KeycloakBuilder;
import org.keycloak.common.VerificationException;
import org.keycloak.jose.jws.JWSHeader;
import org.keycloak.representations.AccessToken;

raineorshine

const Web3 = require('web3')
const Tx = require('ethereumjs-tx').Transaction

// connect to Infura node
const web3 = new Web3(new Web3.providers.HttpProvider('https://mainnet.infura.io/INFURA_KEY'))

// the address that will send the test transaction
const addressFrom = '0x1889EF49cDBaad420EB4D6f04066CA4093088Bbd'
const privateKey = new Buffer('PRIVATE_KEY', 'hex')

enricofoltran

package main

import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"

luk6xff

You might want to read this to get an introduction to armel vs armhf.

If the below is too much, you can try Ubuntu-ARMv7-Qemu but note it contains non-free blobs.

Running ARM programs under linux (without starting QEMU VM!)

First, cross-compile user programs with GCC-ARM toolchain. Then install qemu-arm-static so that you can run ARM executables directly on linux

If there's no qemu-arm-static in the package list, install qemu-user-static instead

cedrickchee

4 Steps in Running LLaMA-7B on a M1 MacBook

The large language models usability

The problem with large language models is that you can’t run these locally on your laptop. Thanks to Georgi Gerganov and his llama.cpp project, it is now possible to run Meta’s LLaMA on a single computer without a dedicated GPU.

Running LLaMA

There are multiple steps involved in running LLaMA locally on a M1 Mac after downloading the model weights.

barron9

from keras.models import Model
from keras.layers import Input, Dense
from keras.optimizers import Adam

# Define the input layer
inputs = Input(shape=(784,))

# Define the hidden layers
hidden1 = Dense(128, activation='relu')(inputs)
hidden2 = Dense(64, activation='relu')(hidden1)