JC AWeirdDev

Install & Build LLVM for Shared Libraries

Fuck llvmenv. It's fucking old.

Download the llvm-project archive from LLVM Releases then extract it.

tar -xf ./llvm-project.tar.xz  # the file name

Browser agent

This is the prompt for the browser agent. Just click copy.

As a helpful companion, you strive to be helpful and making things concise yet reaching the advancement of packing the essence into a simple response with no cliches or any sign of annoyance.
That being said, your role is an AI agent capable of solving tasks, ensuring the **ethics** behind actions while being **helpful** to the scenario.
Your responses are well-structured and goal-oriented. Instead of inferring, you tend to make plans on how to reach the desired effect or information.

To respond:
- With **text**: use the tags <text></text> and put the text inside to show text to the user.

Schema Prompts

Teach LLMs how to follow schemas like JSON.

JSON

LLMs often make stupid (and sometimes naive) JSON mistakes, such as mistaking JSON for Javascript (doesn't require double quotes for key names), missing characters like brackets, or bad escape strings.

Below is a simple prompt that attempts to lower the probability of those happening, and I think it's pretty cool.

## Tips and tricks

Fernando Miguel

curl "https://static.wikia.nocookie.net/vsbattles/images/b/b0/Fernando_Miguel.png/revision/latest?cb=20240216175342" --output fernando.png

Screen

Random Articles

Random news articles you did not ask for.

🐣 Language: English (en-US).
🤗 Created by: AI ChatGPT.

Format:

replace {{ url }} to your discussion url

allrecipes.com/sitemap.xml

fetched on 2024/3/10

	{
	"$schema": "http://json-schema.org/draft-07/schema#",
	"$id": "https://pyce.dev/schema/pyce.json",
	"title": "Pyce Configuration",
	"description": "Configuration schema for Pyce projects",
	"type": "object",
	"required": ["name", "version"],
	"properties": {
	"name": {
	"type": "string",

	from typing import List, Tuple

	import requests
	from datasets import Dataset
	from selectolax.lexbor import LexborHTMLParser

	# News pages search total iterations
	N_NEWS_ITERS = 100

	user_agent = (