{
  "docId": "019de075-e061-72f9-baa2-90171b05eced",
  "docSlug": "cdaaa50efb264b4a4093f665bafb20a4",
  "documentTitle": "Absci | Investor Presentation Deck | 111 slides",
  "authorId": "absci",
  "authorName": "Absci",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2023-10-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 56,
  "pageCount": 111,
  "prevPage": 55,
  "nextPage": 57,
  "slideType": "other",
  "function": "present_framework",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a simple input-process-output flow to explain LLM inference.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de075-e061-72f9-baa2-90171b05eced/56",
  "deckHref": "/decks/019de075-e061-72f9-baa2-90171b05eced",
  "deckJsonHref": "/decks/019de075-e061-72f9-baa2-90171b05eced.json",
  "deckAnchorHref": "/decks/019de075-e061-72f9-baa2-90171b05eced#slide-56",
  "components": [
    {
      "bbox": {
        "h": 0.55,
        "w": 0.12,
        "x": 0.44,
        "y": 0.35
      },
      "kind": "diagram",
      "text": "Transformer Architecture Deep Neural Network",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "18c659fb-874e-475e-9ab2-3c43284f2f19",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.28,
        "x": 0.14,
        "y": 0.35
      },
      "kind": "list",
      "text": "Through hard work, he supported himself and his •••\nBecause it crossed state lines, that criminal behavior attracted the attention of the •••\nJoe Biden, who in 2011 was the •••",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cab40b37-25f5-478c-a49d-e20426fbdbad",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.55,
        "w": 0.28,
        "x": 0.58,
        "y": 0.35
      },
      "kind": "list",
      "text": "“family”\n“FBI”\n“Vice”",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "ce5dd63a-6103-4088-9464-f0bb484095f6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.42,
        "x": 0.29,
        "y": 0.25
      },
      "kind": "paragraph",
      "text": "Input: A few thousand previous words for context\nOutput: Predict the next word or group of words",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f941341c-61c2-4a63-8044-1d5984180a03",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.4,
        "x": 0.3,
        "y": 0.12
      },
      "kind": "title",
      "text": "Map from “all previous words” to “next word”",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9618c7b2-5187-4898-ba60-e3f6259e7af6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.42,
        "x": 0.29,
        "y": 0.06
      },
      "kind": "title",
      "text": "How Large Language Models Work",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e7aac339-b9f9-4ea9-8fcc-42eeaed32d03",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "causal-chain",
      "slug": null,
      "matchId": "9471752c-23e7-4415-a30e-c964e020ee3d",
      "evidence": "The slide maps inputs to outputs through a central processing block.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}