{
  "patent_number": "US 12299406",
  "country": "US",
  "title": "Large language model artificial intelligence text evaluation system",
  "original_title": "Large language model artificial intelligence text evaluation system",
  "summary": "",
  "what_it_does": "Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality of text portions with a criterion specified in natural language. A subset of the plurality of text portions may be selected based on the plurality of relevance scores, with each of the subset of the plurality of text portions having a relevance score surpassing a threshold. A criteria evaluation prompt may be sent to a remote text generation modeling system via a communication interface. The criteria evaluation prompts may include an instruction to evaluate one or more of the subset of text portions against the criterion.",
  "what_it_does_not_cover": [],
  "filed": "2024-04-19",
  "granted": "2025-05-13",
  "expires": "2044-04-19",
  "status": "active",
  "holder": "Casetext",
  "holder_url": "https://patentbrief.org/company/casetext",
  "inventors": [
    {
      "name": "Walter DeFoor",
      "url": "https://patentbrief.org/inventor/walter-defoor"
    },
    {
      "name": "Pablo Arredondo",
      "url": "https://patentbrief.org/inventor/pablo-arredondo"
    },
    {
      "name": "Ryan Walker",
      "url": "https://patentbrief.org/inventor/ryan-walker"
    },
    {
      "name": "Alan deLevie",
      "url": "https://patentbrief.org/inventor/alan-delevie"
    },
    {
      "name": "Javed Qadrud-Din",
      "url": "https://patentbrief.org/inventor/javed-qadrud-din"
    },
    {
      "name": "Brian O'Kelly",
      "url": "https://patentbrief.org/inventor/brian-okelly"
    },
    {
      "name": "Ethan Blake",
      "url": "https://patentbrief.org/inventor/ethan-blake"
    }
  ],
  "times_cited": 0,
  "tags": [],
  "abstract": "Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality of text portions with a criterion specified in natural language. A subset of the plurality of text portions may be selected based on the plurality of relevance scores, with each of the subset of the plurality of text portions having a relevance score surpassing a threshold. A criteria evaluation prompt may be sent to a remote text generation modeling system via a communication interface. The criteria evaluation prompts may include an instruction to evaluate one or more of the subset of text portions against the criterion.",
  "url": "https://patentbrief.org/patent/us/12299406/large-language-model-artificial-intelligence-text-evaluation-system",
  "markdown_url": "https://patentbrief.org/patent/us/12299406/large-language-model-artificial-intelligence-text-evaluation-system/md",
  "google_patents_url": "https://patents.google.com/patent/US12299406",
  "relatedPatents": []
}