MarcoF1

'use client'

import { useChat } from 'ai/react'

export default function Chat() {
  const { messages, input, handleInputChange, handleSubmit } = useChat()

  return (
    <div className="flex flex-col w-full max-w-md py-24 mx-auto stretch">
      {messages.length > 0

MarcoF1

//app/api/chat/route.ts
import { Configuration, OpenAIApi } from 'openai-edge'
import { OpenAIStream, StreamingTextResponse } from 'ai'

// Create an OpenAI API client (that's edge friendly!)
const config = new Configuration({
  apiKey: process.env.OPENAI_API_KEY
})
const openai = new OpenAIApi(config)

MarcoF1

from dataclasses import dataclass
from typing import Dict, List

@dataclass
class Item:
    name: str
    price: float
    quantity: int
    shared_by: List[str]  # List of names of people sharing the item

MarcoF1

# Bain Fund

# FV = projected cash flow for each year (amount you expect to receive)
# n = number of periods out the cash flow is from the present
def present_value(FV, n, discount_rate=.1):
	return FV/((1 + discount_rate)**n)

if __name__ == "__main__":
	gross_rates_of_return = [.05, .15, .25, .35, .45]
	fund_start_size = 200000000 # 200 million

MarcoF1

/**/
#include <stdio.h>
#include <stdlib.h>
#include <unistd.h>
#include <fcntl.h>
#include <string.h>
#include <strings.h>
#include <errno.h>
#include <sys/time.h>
#include <sys/resource.h>

MarcoF1

{
  "meta": { "theme": "elegant" },
  "$schema": "https://json.schemastore.org/resume",
  "basics": {
    "name": "Marco Fleming",
    "label": "MIT '22",
    "image": "https://media-exp1.licdn.com/dms/image/C4D03AQE5njKHL5CtVA/profile-displayphoto-shrink_200_200/0?e=1609977600&v=beta&t=O88WFSw3CY0LaIhk-DDO4ZwzesW9EvZBbdhTm7EFhHE",
    "email": "[email protected]",
    "phone": "(956) 330-7839",
    "url": "marcof.dev",