Oracle 1z0-1122-23 Dumps

Oracle Cloud Infrastructure Document Understanding service is a cloud-based AI service for automating data extraction from documents. It can process various types of documents, such as invoices, receipts, contracts, forms, etc., and extract key information fields from them using optical character recognition (OCR) and natural language understanding (NLU) techniques. It can also provide confidence scores for each extracted field and enable human verification if needed. By using this service, businesses can reduce manual efforts, improve accuracy, and accelerate workflows that involve document processing. Some of the use cases for Oracle Cloud Infrastructure Document Understanding service are:

• Invoice Processing: Extract invoice details, such as invoice number, date, amount, vendor name, etc., and validate them against purchase orders or contracts.
• Contract Analysis: Extract contract terms, such as parties, duration, clauses, obligations, etc., and compare them with standard templates or policies.
• Form Processing: Extract form fields, such as name, address, phone number, email, etc., and populate them into databases or applications. References: : [Document Understanding Overview - Oracle], [AI Document Understanding at Scale | Oracle]

Tokens are the basic units of text representation in large language models. They can be words, subwords, characters, or symbols. Tokens are used to encode the input text into numerical vectors that can be processed by the model’s neural network. Tokens also determine the vocabulary size and the maximum sequence length of the model3. References: Oracle Cloud Infrastructure 2023 AI Foundations Associate | Oracle University

OCI Vision is the best choice for migrating your company’s image and video analysis workloads to Oracle Cloud Infrastructure, as it offers advanced computer vision capabilities, including custom model training. With OCI Vision, you can build your own models to detect and classify objects in images and videos, using your own data and labels. You can also use OCI Vision’s pretrained models for common tasks such as face detection, face recognition, and face analysis. OCI Vision supports various file formats, such as JPG, PNG, PDF, and TIFF, and can connect to many data sources, such as Object Storage, Autonomous Transaction Processing, and InfluxDB3. References: Vision - Oracle