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#!/usr/bin/env python3
import os
from datetime import datetime, timezone
from pathlib import Path

from prompt_toolkit import PromptSession
from prompt_toolkit.history import FileHistory
import openai
from rich.console import Console
from rich.markdown import Markdown

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""" To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory
    git clone https://github.com/myshell-ai/OpenVoice
    cd OpenVoice
    git clone https://huggingface.co/myshell-ai/OpenVoice
    cp -r OpenVoice/* .
    pip install whisper pynput pyaudio
"""

from openai import OpenAI
import time

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[alias]
	br = branch
	st = status -s -b
	lg = log --pretty=format:"%C(green)%h\\ %C(yellow)[%ad]%Cred%d\\ %Creset%s%Cblue\\ [%cn]" --decorate --date=relative -20

	ac = !git add -A && git commit -m 
	oops = !git add -A && git commit --amend --no-edit

	unstash = stash pop
	bd = branch -D

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Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point).

My own notes from a few months back.

Background

• Survey of LLMS
• Self-attention and transformer networks

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# aproducer.py
#
# Async Producer-consumer problem.
# Challenge: How to implement the same functionality, but no threads.

import time
from collections import deque
import heapq

class Scheduler:

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Cryptographic Best Practices

Putting cryptographic primitives together is a lot like putting a jigsaw puzzle together, where all the pieces are cut exactly the same way, but there is only one correct solution. Thankfully, there are some projects out there that are working hard to make sure developers are getting it right.

The following advice comes from years of research from leading security researchers, developers, and cryptographers. This Gist was [forked from Thomas Ptacek's Gist][1] to be more readable. Additions have been added from

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from datetime import datetime
from typing import Optional

import pandas as pd
from rich import box
from rich.console import Console
from rich.table import Table

console = Console()

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