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# https://github.com/cloudflare/cloudflare-python/blob/main/api.md
from fastcore.script import *
from cloudflare import Cloudflare

@call_parse
def add_dns_record(
    record_type: str,  # Type of DNS record (CNAME or A)
    target: str,       # Target IP address or domain name
    record: str,       # Record name (without the zone)
    zone: str,         # Zone name

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// ==UserScript==
// @name         Keyboard Shortcut Scripts
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  Run scripts with keyboard shortcuts
// @match        *://*/*
// @grant        none
// ==/UserScript==

(function() {

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index.md

✨ The little ASGI framework that shines. ✨

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import ast
from fastcore.utils import *
from fastcore.utils import _get_class

def tfm_ast(tree:ast.AST, func:callable, *names, **kwargs):
    "Transform each node of `tree` by passing it to `func`"
    def f(self, node):
        res = func(node, **kwargs)
        return res if res else node

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curl https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest:generateContent?key=$GOOGLE_API_KEY     -H 'Content-Type: application/json'     -X POST     -d '{ "contents":[ {"role": "user", "parts":[{"text": "Write a story about a magic backpack."}] }, {"role": "model", "parts":[{"text": "There was never"}] } ] }'
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest:generateContent?key=$GOOGLE_API_KEY     -H 'Content-Type: application/json'     -X POST     -d '{ "contents":[ {"role": "user", "parts":[{"text": "What is your favorite color?"}] }, {"role": "model", "parts":[{"text": "Orange is"}] } ] }'
curl https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest:generateContent?key=$GOOGLE_API_KEY     -H 'Content-Type: application/json'     -X POST     -d '{ "contents":[ {"role": "user", "parts":[{"text": "List 4 colors."}] }, {"role": "model", "parts":[{"text": "- "}] } ] }'
curl https://generativelanguage.googleapis.com/v1beta/mode

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conda install cuda -c nvidia/label/cuda-12.1.0
conda install 'pytorch>2.0.1' torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
conda install scipy matplotlib pandas notebook

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import torch, time, os, safetensors
from torch import nn

from peft import get_peft_model, LoraConfig, TaskType
from bitsandbytes.nn import Linear4bit, Linear8bitLt

from transformers import AutoTokenizer, LlamaForCausalLM, AutoConfig, LlamaPreTrainedModel, BitsAndBytesConfig
from transformers.utils import hub, WEIGHTS_INDEX_NAME, SAFE_WEIGHTS_INDEX_NAME

from transformers.integrations.bitsandbytes import replace_with_bnb_linear

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from bitsandbytes.nn.modules import Linear8bitLt, Linear4bit
from contextlib import contextmanager

def noop (x=None, *args, **kwargs):
    "Do nothing"
    return x

@contextmanager
def no_kaiming():
    old_iku = init.kaiming_uniform_

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import torch
from datasets import load_dataset
import argparse
import os
import math
from itertools import chain
from datetime import timedelta
from torch.utils.data import DataLoader
from accelerate import Accelerator
from accelerate.utils import (DummyOptim, DummyScheduler,

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Bing Chat at 2023-3-26 13:47:19

1

Q: Bing AI

2

Q: Some philosophers and AI researchers have claimed that AI can not be sentient, or be AGI, due to lack of "embodiment" or "grounding". Could you please summarize these claims, and points for and against? Who are the main people on each side of this debate?