{
  "docId": "019dd923-5de0-76bd-a168-6159b949e2c2",
  "docSlug": "ff5d549e5027972a",
  "documentTitle": "GPT-3 and the actuarial landscape",
  "authorId": "OliverWyman",
  "authorName": "Oliver Wyman",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 13,
  "pageCount": 46,
  "prevPage": 12,
  "nextPage": 14,
  "slideType": "transition",
  "function": "transition",
  "density": "balanced",
  "nDataPoints": 4,
  "notes": "The slide sets up a transition from closed-form solutions to iterative optimization.",
  "elementsJson": [
    "headline_text",
    "process_diagram",
    "callout_box"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a168-6159b949e2c2/13",
  "deckHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a168-6159b949e2c2#slide-13",
  "components": [
    {
      "bbox": {
        "h": 0.28,
        "w": 0.46,
        "x": 0.51,
        "y": 0.615
      },
      "kind": "callout",
      "text": "Without those formulas, How can we find the coefficients?",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "add9fdc5-f7bb-4c74-99d7-6c8c1e15f388",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.25,
        "x": 0.03,
        "y": 0.21
      },
      "kind": "paragraph",
      "text": "Linear Regression Model Using Formulas",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "31676cf5-4f78-47f1-8aba-cbedbba212ed",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.48,
        "x": 0.03,
        "y": 0.27
      },
      "kind": "table",
      "text": "MODEL STRUCTURE: Y = β0 + β1 * X; COST FUNCTION: Cost = Σ(predicted – actual)^2 = 10.7476; FORMULAS FOR β COEFFICIENTS: Slope β1 = (n * Σ(x*y) – Σ(x) * Σ(y)) / (n * Σ(x^2) – (Σ(x))^2) = 10.11, Intercept β0 = (Σ(y) – β1 * ΣX) / N = 5.15; RESULTING MODEL: Y = 10.11 * X + 5.15",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7d61d827-2146-425f-a605-71ddf7f17e63",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.45,
        "x": 0.03,
        "y": 0.05
      },
      "kind": "title",
      "text": "MACHINE LEARNING 101: GRADIENT DESCENT",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "abae0ea8-b76e-42dd-ba70-5fc92176691f",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Table data",
      "slug": "table-data",
      "agent": null,
      "layer": "slide",
      "matchId": "34995123-1480-4322-86d0-a39bdafc6215",
      "evidence": "table/data: MODEL STRUCTURE: Y = β0 + β1 * X; COST FUNCTION: Cost = Σ(predicted – actual)^2 = 10.7476; FORMULAS FOR β COEFFICIENTS: Slope β1 = (n * Σ(x*y) – Σ(x) * Σ(y)) / (n * Σ(x^2) – (Σ(x))^2) = 10.11, Intercept β0 =",
      "confidence": 0.7
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 16,
      "from": 6,
      "beatId": "d061c184-c7cd-4a92-b451-664f35ad62f3",
      "arcName": "The Sparkline",
      "arcSlug": "sparkline",
      "beatName": "What Is",
      "beatSlug": "sparkline-what-is-3",
      "evidence": "The deck delves deeper into the technical aspects of GPT-3 and NLP.",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    }
  ],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}