1. Подключаемся к серверу:
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| # Credits: | |
| # - https://www.hackster.io/thatiotguy/enable-monitor-mode-in-tp-link-tl-wn722n-v2-v3-128fc6 | |
| # - https://github.com/aircrack-ng/rtl8188eus/issues/234 | |
| # Tested on Kali Linux 2022.3 | |
| # Commands used to Setup the Adapter from aircrack repository | |
| sudo apt update | |
| sudo apt install bc -y | |
| sudo rmmod r8188eu.ko | |
| git clone https://github.com/gglluukk/rtl8188eus | |
| cd rtl8188eus |
pytorch/pytorch#94891 (comment) The pcie atomic issue should be fixed already. Currently i cannot verify.
- Install PyTorch with ROCm support
Following offical installation guide: https://pytorch.org/get-started/locally/#linux-installation
Choose [Stable] -> [Linux] -> [Pip] -> [Python] -> [ROCm], It should be something like:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| # copied from https://github.com/tulir/mautrix-telegram/blob/master/mautrix_telegram/util/parallel_file_transfer.py | |
| # Copyright (C) 2021 Tulir Asokan | |
| import asyncio | |
| import hashlib | |
| import inspect | |
| import logging | |
| import math | |
| import os | |
| from collections import defaultdict | |
| from typing import Optional, List, AsyncGenerator, Union, Awaitable, DefaultDict, Tuple, BinaryIO |