rvndbalaji

import base64
import functools
import operator
from typing import *
from typing import Annotated, Any, Dict, List, Sequence

from dto.chat import *
from dto.graph import *
from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
from langchain.tools import BaseTool

fbarretto

This is a gist on how to get StreamDiffusion running on a Mac (mps)

1. Clone the repo

git clone https://github.com/cumulo-autumn/StreamDiffusion.git

2. Setup the environment

cd StreamDiffusion

smx-smx

XZ Backdoor symbol deobfuscation. Updated as i make progress

thesamesam

FAQ on the xz-utils backdoor (CVE-2024-3094)

This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.

Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to email to suggest corrections still, of course.

Background

danny-avila

The default ChatGPT fonts, according to OpenAI's brand guidelines, are proprietary and require appropriate font license according to your use case.

They can be purchased here: https://klim.co.nz/buy/soehne/

The fonts in question are (9 total):

• Söhne (Buch Kursiv, Buch, Halbfett Kursiv, Halbfett, Kraftig Kursiv, Kraftig, Mono Buch Kursiv, Mono Buch, Mono Halbfett)

If you have purchased a license, you can use the commented-out @font-face declarations in ./client/src/styles.css to include them in your project.

jordansinger

struct ContentView: View {
    var body: some View {
        VStack {
            HStack {
               Spacer()
                Button { } label: {
                    Image(systemName: "power")
                        .resizable()
                        .aspectRatio(contentMode: .fill)
                        .padding()

x27

/// <summary>
/// Extract Main CPU firmware from ICOM IC-R8600 firmware bundle (1.01-1.35 USA and non-USA versions)
/// non-USA versions:
/// https://www.icomjapan.com/support/firmware_driver/?product=IC-R8600(EUR)&frm_type=Firmware&old=true
/// USA versions:
/// https://www.icomjapan.com/support/firmware_driver/?product=IC-R8600&frm_type=Firmware&old=true
/// </summary>
/// <param name="bundle">Firmware bundle</param>
/// <returns>Unpacked data</returns>
static byte[] MainCpuFirmwareExtract(byte[] bundle)

zckly

// model: gpt-4-vision-preview

const input = 'can you help me land this skateboarding trick?'

const frames = [
  // Frames should be a list of image URLs or bytes
]

const messages = [
          ...messages,

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.

freefirex

#define _WIN32_WINNT 0x0502
#define WINVER 0x0502
#include <windows.h>
#include <errhandlingapi.h>
#include <process.h>
#include "beacon.h"

WINBASEAPI PVOID WINAPI KERNEL32$AddVectoredExceptionHandler (ULONG First, PVECTORED_EXCEPTION_HANDLER Handler);
DECLSPEC_IMPORT uintptr_t __cdecl MSVCRT$_beginthreadex(void *_Security,unsigned _StackSize,_beginthreadex_proc_type _StartAddress,void *_ArgList,unsigned _InitFlag,unsigned *_ThrdAddr);
DECLSPEC_IMPORT void __cdecl MSVCRT$_endthreadex(unsigned _Retval);