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AnythingLLM | Your personal LLM trained on anything

Welcome — src — code-server

print(f"Training of model is complete. Took {end-start} seconds")

1_experiment_train.ipynb — src — code-server

# Train the model and get performance
import os
import time
start = time.time()
epochs = 2
history = model.fit(
    X_train,
    y_train,
    epochs=epochs,
    validation_data=(X_val, y_val),
    verbose=True,
    class_weight=class_weights
)
end = time.time()
print(f"Training of model is complete. Took {end-start} seconds")

Docling Web Client

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{
  "schema_name": "DoclingDocument",
  "version": "1.3.0",
  "name": "measuring-genai",
  "origin": {
    "mimetype": "application/pdf",
    "binary_hash": 14076724081791297655,
    "filename": "measuring-genai.pdf",
    "uri": null
  },
  "furniture": {
    "self_ref": "#/furniture",
    "parent": null,
    "children": [],
    "content_layer": "furniture",
    "name": "_root_",
    "label": "unspecified"
  },
  "body": {
    "self_ref": "#/body",
    "parent": null,
    "children": [
      {
        "$ref": "#/tables/0"
      }
    ],
    "content_layer": "body",
    "name": "_root_",
    "label": "unspecified"
  },
  "groups": [],
  "texts": [],
  "pictures": [],
  "tables": [
    {
      "self_ref": "#/tables/0",
      "parent": {
        "$ref": "#/body"
      },
      "children": [],
      "content_layer": "body",
      "label": "table",
      "prov": [
        {
          "page_no": 2,
          "bbox": {
            "l": 105.52618408203125,
            "t": 402.36767578125,
            "r": 691.1363525390625,
            "b": 125.025146484375,
            "coord_origin": "BOTTOMLEFT"
          },