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Building AI-Powered Apps with RubyLLM: Prerequisites

Duration: ~4 hours, hands-on

What you'll build: An AI-powered task management app called TaskPilot

Please complete the following setup before the workshop. This ensures we can dive straight into building.

---

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diff --git i/.SRCINFO w/.SRCINFO
index 6158879..5156449 100644
--- i/.SRCINFO
+++ w/.SRCINFO
@@ -1,6 +1,6 @@
 pkgbase = linux-firmware-git
 	pkgdesc = Firmware files for Linux
-	pkgver = 20250305.a3e1417a
+	pkgver = 20260110
 	pkgrel = 1

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# This is a YAML file so I can have comments but the API should obviously return an array of models in JSON.
# Legend:
#  Required: this is important to have in v1.
#  Optional: this is still important but can wait for v2.

id: gpt-4.5-preview                     # Required, will match it with the OpenAI API
name: GPT-4.5 Preview                   # Required
provider: openai                        # Required
family: gpt45                           # Optional, each model page is a family for OpenAI models
context_window: 128000                  # Required

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#include <LiquidCrystal.h>
#define MAX_SEATS 19

const int rs = 12, en = 11, d4 = 5, d5 = 4, d6 = 3, d7 = 2;
const int redButton = 7, greenButton = 6;
LiquidCrystal lcd(rs, en, d4, d5, d6, d7);

int n_occupied = 0;
byte redButtonState = 0, greenButtonState = 0, prevGreenButtonState = 0, prevRedButtonState = 0;

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; Save this script and run it.
; Win+Shift+v will type the contents of your clipboard
#+v::SendRaw, %Clipboard%

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$ ./configure
You have bazel 0.7.0-homebrew installed.
Please specify the location of python. [Default is /usr/bin/python]: /usr/local/bin/python3


Found possible Python library paths:
  /usr/local/Cellar/python3/3.6.3/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages
Please input the desired Python library path to use.  Default is [/usr/local/Cellar/python3/3.6.3/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages]

Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]:

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diff --git a/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc b/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
index 0f7adaf24a..355584456b 100644
--- a/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
+++ b/tensorflow/core/kernels/concat_lib_gpu_impl.cu.cc
@@ -69,7 +69,7 @@ __global__ void concat_variable_kernel(
   IntType num_inputs = input_ptr_data.size;
 
   // verbose declaration needed due to template
-  extern __shared__ __align__(sizeof(T)) unsigned char smem[];
+  extern __shared__  unsigned char smem[];

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- repo: git://github.com/pre-commit/pre-commit-hooks
  sha: master
  hooks:
    - id: trailing-whitespace
    - id: autopep8-wrapper
    - id: check-added-large-files
    - id: check-ast
      language_version: python3.4
    - id: check-case-conflict
    - id: check-docstring-first

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;; -*- mode: emacs-lisp -*-
;; This file is loaded by Spacemacs at startup.
;; It must be stored in your home directory.

(defun dotspacemacs/layers ()
  "Configuration Layers declaration.
You should not put any user code in this function besides modifying the variable
values."
  (setq-default
   ;; Base distribution to use. This is a layer contained in the directory

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"""Download Dash User Docsets and install them in Zeal"""
import configparser
import json
import tarfile
import urllib.request
from pathlib import Path
from sys import platform

import easygui