{
  "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": 54,
  "pageCount": 111,
  "prevPage": 53,
  "nextPage": 55,
  "slideType": "other",
  "function": "present_framework",
  "density": "dense",
  "nDataPoints": 0,
  "notes": "The slide uses a simple input-process-output flow to demystify LLM functionality.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de075-e061-72f9-baa2-90171b05eced/54",
  "deckHref": "/decks/019de075-e061-72f9-baa2-90171b05eced",
  "deckJsonHref": "/decks/019de075-e061-72f9-baa2-90171b05eced.json",
  "deckAnchorHref": "/decks/019de075-e061-72f9-baa2-90171b05eced#slide-54",
  "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": "0151359f-b03b-4a2b-8e01-a95bc1b68d06",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.25,
        "x": 0.61,
        "y": 0.35
      },
      "kind": "list",
      "text": "\"family\"\n\"FBI\"",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "12ae2e6f-4790-4e01-8a0a-600e9379692e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "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 •••",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4e369a8c-21c1-4f53-9edd-92fbbcc13861",
      "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": "647f9b46-2684-4e0f-8247-5b21198db815",
      "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": "d3a6ebd7-2b91-4be2-a453-7aee3916d0cd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.42,
        "x": 0.29,
        "y": 0.07
      },
      "kind": "title",
      "text": "How Large Language Models Work",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "cd600a31-b85e-4275-a512-707303018757",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "causal-chain",
      "slug": null,
      "matchId": "0605d576-ee61-41ed-951b-778d0f72c113",
      "evidence": "The slide maps input text to output predictions through a central processing block.",
      "confidence": 0.8
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}