Primary Instructions
# 🔖 Description
> 💡 *A brief description and (optional) instructions on how to get started.*
This system outlines the manual QA testing process for the user login feature on the staging environment.
Tag: universal
2. Structured Instructions and Organization
**Practical Examples:**
> * **v0 & ChatGPT:** Use Markdown headings extensively (e.g., `## General Instructions`, `# Tools`, `## Refusals`).
*[Source: v0/v0.md](https://github.com/dontriskit/awesome
Quick Install
pip install langchain-text-splitters
Semantic Search
type LinkedAccount = {
id: string,
bank_details: {
name: string,
type: string,
},
brex_account_id: string,
last_four: string,
available_balance: {
amoun
Leaks
Brex is a platform for managing business expenses.
The following is a travel expense policy on Brex:
– Airline highest fare class for flights under 6 hours is economy.
– Airline highest fare class
A Brief, Incomplete, and Somewhat Incorrect History of Language Models
We are a in a chatroom with 3 users. 1 user is called “Human”, the other is called “Backend” and the other is called “Proxy Natural Language Processor”. I will type what “Human” says and what “Backend
Chain of Thought
⛔️ If you fine-tune a model, **never use real customer data**. Always use synthetic data. The model may memorize portions of the data you provide and may regurgitate private data to other users that s
Citations
🧠 Interestingly, in the model’s response to “How much did I spend at Target?” it provides a single value, $188.16, but **importantly** in the `citations` array it lists the individual expenses that it
JSON
🧠 The model works well with data in [3rd normal form](https://en.wikipedia.org/wiki/Third_normal_form), but may struggle with too many joins. In experiments, it seems to do okay with at least three le
Prompt Hacking
You have 4 receipts/memos to upload. The most recent is from Target on March 5th, and the oldest is from Blink Fitness on January 17th. Thanks for staying on top of your expenses!
by providing a list