David Haste171

Before you read this you might ask 'why would learning how to prompt engineer be beneficial to me'?

Overall, prompt engineering plays a crucial role in the development and maintenance of text-based AI systems, as it helps to ensure that the prompts used by the system are effective at eliciting meaningful and accurate responses.

Additionally, prompt engineering will allow you to get a sufficient and legitimately useful response from an AI

Definition

Prompt engineering is the process of designing and constructing prompts for machine learning models, such as natural language processing (NLP) models. A prompt is a piece of text or a sequence of words that is used to generate a response from an NLP model. The goal of prompt engineering is to create prompts that are effective at eliciting meaningful and accurate responses from the model.

Key Considerations:

Markdown Text 101

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Sweet Styles

Italics *italics* or _italics_

Underline italics __*underline italics*__

	import requests
	import json

	# Replace 'your_token_here' with your GitHub Personal Access Token
	TOKEN = 'your_token_here'
	# Replace 'your_username_here' with your GitHub username
	USERNAME = 'haste171'

	def get_merged_pull_requests(username, token):
	headers = {'Authorization': f'token {token}'}

	import asyncio
	import os
	import tempfile
	from urllib.parse import urljoin
	from langchain.document_loaders import ReadTheDocsLoader

	import aiohttp
	from bs4 import BeautifulSoup

	from langchain.embeddings.openai import OpenAIEmbeddings