Heartbeat

DECEMBER 7, 2023

Result : The doc variable now holds a Document object that contains the structured data parsed from the PDF. type(doc) # llmsherpa.readers.layout_reader.Document Retrieving Chunks from the PDF The chunks method provides coherent pieces or segments of content from the parsed PDF. Let’s get some preliminaries out of the way: %%capture !pip

Deep Learning 52

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Towards AI

FEBRUARY 18, 2024

Results generated for Sample data For complete code visit following Kaggle notebook[link] Join thousands of data leaders on the AI newsletter. The same functionalities as for person names are used in this function, as shown in the code below, with the exception of part of speech tagging for singular and plural nouns. If […]

Natural Language Processing 107

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Heartbeat

MAY 9, 2023

labels_ = {} for index, key in enumerate(categories): labels_[key] = index Step 4: Convert to spaCy Data Format and Save to Disk We need to convert the text and tags to clean SpaCy Doc Objects. small_train_dataset = ds["train"].shuffle(seed=34).take(5000) shuffle(seed=34).take(5000) shuffle(seed=34).take(1000)

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Heartbeat

DECEMBER 15, 2023

The following code will do that for you: def create_index_and_retriever(chunks, embeddings): """ Create an index and retriever for the given chunks using the specified embeddings. Args: chunks (list): List of text chunks to be indexed. embeddings (Embeddings object): Embedding model used for creating the index.

Database 52

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Towards AI

JULY 21, 2023

Photo by adrianna geo on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher | 08.23.20 Fury What a week. Let’s recap. If you haven’t heard, we released the NLP Model Forge ? plus AI can now beat you in a dogfight, and Operation Fury is underway.

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ODSC - Open Data Science

JUNE 21, 2023

This is achieved starting from rows having all the days’ data columns by using the pandas command melt ( [link] pandas-docs/stable/reference/api/pandas.melt.html). reset_ index(drop=True) holdout_df.to_feather(f"holdout_df_{end_train_day_x}_to_{end_train_ day_x + predict_horizon}.feather") apply(lambda x: x[2:]).astype(np.int16)

Data Science 96

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Heartbeat

JULY 27, 2023

In this proto map, each feature we have created is indexed by a string key. Reading TFRecords Reading the TFRecords and preparing them for model training is straightforward and doesn’t deviate very much from all the examples in the tf.Dataset docs. There is no requirement to use tf.train.Example in TFRecord files.

Deep Learning 52

Deep Learning Deep Learning Python ML 52