dudgeon

## tab-switcher-demo-v3.html
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Conversation Manager Prototype</title>
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <!-- Bootstrap 5 CSS -->
  <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
  <style>
    body {

## tab-switcher-demo-v2.html
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Conversation Manager Prototype</title>
  <meta name="viewport" content="width=device-width, initial-scale=1">
  <!-- Bootstrap 5 CSS -->
  <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
  <style>
    body {

## sama-a-on-gpt-abilities
Q: This is one of the questions that people ask me the most, and I imagine ask you, like, what are today's AI systems useful and not useful for doing?

A: I would say the main thing they're bad at --well many things-- but the on that is on my mind a lot is they're bad at reasoning. And a lot of the valuable human things

## iterative-prompt-execution.py
# Assuming the API client is imported and initialized here
# from some_library import APIClient
# client = APIClient('your_api_key')

def perform_inference(client, prompt):
    """
    Perform inference by sending the prompt to the language model API
    and print the response.
    """
    response = client.generate(prompt)

## Takeoff School First App Notes.md

      
              1 file
            
          
              0 forks
            
          
                0 comments
              
            
              0 stars
            
          
                dudgeon
                / Takeoff School First App Notes.md
            
            
              Created
              May 13, 2023 12:23
            
          
    Notes: Takeoff School Day 0 Class by McKay Wrigley


## Learning Journey
# Learning Journey

## Queue

## Log

### 2023-05-13
[Takeoff School Day 0 Class](https://replit.com/@dudgeon/Takeoff-School-Your-1st-AI-App)
- by McKay Wrigley

## blockstack
Verifying my Blockstack ID is secured with the address 19a24sUScKGeY188oJkNkVjhqRSacHJuFW https://explorer.blockstack.org/address/19a24sUScKGeY188oJkNkVjhqRSacHJuFW

## keybase.md

      
              1 file
            
          
              0 forks
            
          
                0 comments
              
            
              0 stars
            
          
                dudgeon
                / keybase.md
            
            
              Created
              March 8, 2018 18:54
            
          
    Keybase proof

I hereby claim:

I am dudgeon on github.
I am dudgeon (https://keybase.io/dudgeon) on keybase.
I have a public key ASAD8Npu4sgITd82st-KDTQHBw6AgbiJIOgZ6SaLzxs5Vwo

To claim this, I am signing this object:

  
## Chicken Stroganoff
# Ingredients
- 2 lbs. boneless, skinless chicken thighs: sliced or cubed

# Directions


## emailAddressToDisplayName.swift
//: Goal -- turn an email Address into a placeholder nickname

import UIKit

var emailAddress1 = "fallon@gmail.com"
var emailAddress2 = "jimmy.fallon@gmailcom"

func emailAddressToDisplayName (email: String) -> String {

    var returnString = String()
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Conversation Manager Prototype</title>
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<!-- Bootstrap 5 CSS -->
	<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/css/bootstrap.min.css" rel="stylesheet">
	<style>
	body {
	Q: This is one of the questions that people ask me the most, and I imagine ask you, like, what are today's AI systems useful and not useful for doing?

	A: I would say the main thing they're bad at --well many things-- but the on that is on my mind a lot is they're bad at reasoning. And a lot of the valuable human things
	# Assuming the API client is imported and initialized here
	# from some_library import APIClient
	# client = APIClient('your_api_key')

	def perform_inference(client, prompt):
	"""
	Perform inference by sending the prompt to the language model API
	and print the response.
	"""
	response = client.generate(prompt)
	# Learning Journey

	## Queue

	## Log

	### 2023-05-13
	[Takeoff School Day 0 Class](https://replit.com/@dudgeon/Takeoff-School-Your-1st-AI-App)
	- by McKay Wrigley
	# Ingredients
	- 2 lbs. boneless, skinless chicken thighs: sliced or cubed

	# Directions
	//: Goal -- turn an email Address into a placeholder nickname

	import UIKit

	var emailAddress1 = "fallon@gmail.com"
	var emailAddress2 = "jimmy.fallon@gmailcom"

	func emailAddressToDisplayName (email: String) -> String {

	var returnString = String()