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112 | 112 | "source": [
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113 | 113 | "## Project Lifecycle\n",
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114 | 114 | "\n",
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| 115 | +<<<<<<< HEAD |
115 | 116 | "Not every project will proceed in the same way, but projects generally have some \n",
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116 | 117 | "important components in common.\n",
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117 | 118 | "\n",
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121 | 122 | "represents the ongoing nature of problem understanding - uncovering more about\n",
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122 | 123 | "the customer domain will influence every step of the process. We wil examine \n",
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123 | 124 | "several of these iterative cycles of refinement in detail below. \n",
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| 125 | +======= |
| 126 | + "Not every project will proceed in the same way, but projects generally have some common\n", |
| 127 | + "important components.\n", |
| 128 | +>>>>>>> origin/main |
124 | 129 | "\n",
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125 | 130 | "### 1. Understand the Problem\n",
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126 | 131 | "\n",
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140 | 145 | "It's very rare that a real-world project will start with all the data necessary to get\n",
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141 | 146 | "to a satisfactory solution, much less to establish confidence.\n",
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142 | 147 | "\n",
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| 148 | +<<<<<<< HEAD |
143 | 149 | "In our case, we're going to assume that we have a decent sample of system *inputs*, \n",
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144 | 150 | "in the form of but receipt images, but start without any fully annotated data. We find \n",
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145 | 151 | "this is a not-unusual situation when automating an existing process. Instead, \n",
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146 | 152 | "we'll walk through the process of building that out as we go along by collaborating with\n",
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147 | 153 | "domain experts, and make our evals progressively more comprehensive.\n",
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| 154 | +======= |
| 155 | + "In our case, we're going to assume that we have a decent sample of system *inputs*\n", |
| 156 | + "(here, photographs of receipts), but start without any fully annotated data. We'll walk\n", |
| 157 | + "through the process of incrementally expanding our test and training sets as we go along\n", |
| 158 | + "and make our evals progressively more comprehensive.\n", |
| 159 | +>>>>>>> origin/main |
148 | 160 | "\n",
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149 | 161 | "### 3. Build an End-to-End V0 System\n",
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150 | 162 | "\n",
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402 | 414 | "cell_type": "markdown",
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403 | 415 | "metadata": {},
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404 | 416 | "source": [
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| 417 | +<<<<<<< HEAD |
405 | 418 | ""
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| 419 | +======= |
| 420 | + "<img src=\"../../../images/Supplies_20240322_220858_Raven_Scan_3_jpeg.rf.50852940734939c8838819d7795e1756.jpg\" alt=\"Walmart_image\" width=\"400\"/>" |
| 421 | +>>>>>>> origin/main |
406 | 422 | ]
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407 | 423 | },
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408 | 424 | {
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505 | 521 | "source": [
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506 | 522 | "### Action Decision\n",
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507 | 523 | "\n",
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| 524 | +<<<<<<< HEAD |
508 | 525 | "Next, we need to close the loop and get to an actual decision based on receipts. \n",
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509 | 526 | "\n",
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510 | 527 | "Ordinarily one would start with the most capable model - `o3`, at this time - for a \n",
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521 | 538 | "\n",
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522 | 539 | "Otherwise, this is pretty similar to the last, so we'll present the code without \n",
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523 | 540 | "further comment."
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| 541 | +======= |
| 542 | + "Next, we need to close the loop and get to an actual decision based on receipts. This\n", |
| 543 | + "looks pretty similar, so we'll present the code without comment." |
| 544 | +>>>>>>> origin/main |
524 | 545 | ]
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525 | 546 | },
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526 | 547 | {
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909 | 930 | "metadata": {},
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910 | 931 | "source": [
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911 | 932 | "After you run that eval you'll be able to view it in the UI, and should see something\n",
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| 933 | +<<<<<<< HEAD |
912 | 934 | "like the below. \n",
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913 | 935 | "\n",
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914 | 936 | "(Note, if you have a Zero-Data-Retention agreement, this data is not stored\n",
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915 | 937 | "by OpenAI, so will not be available in this interface.)\n",
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| 938 | +======= |
| 939 | + "like:\n", |
| 940 | +>>>>>>> origin/main |
916 | 941 | "\n",
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917 | 942 | "\n",
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918 | 943 | "\n",
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1642 | 1667 | "ARE NOT TRAVEL-RELATED, THEN IT MUST BE AUDITED.\n",
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1643 | 1668 | "```\n",
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1644 | 1669 | "\n",
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| 1670 | +<<<<<<< HEAD |
1645 | 1671 | "4. We added three examples, JSON input/output pairs wrapped in XML tags.\n",
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| 1672 | +======= |
| 1673 | + "3. We added three examples, JSON input/output pairs wrapped in XML tags.\n", |
| 1674 | +>>>>>>> origin/main |
1646 | 1675 | "\n",
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1647 | 1676 | "With our prompt revisions, we'll regenerate the data to evaluate and re-run the same\n",
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1648 | 1677 | "eval to compare our results:"
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