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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

You can use the adapter for inference by passing the adapter identifier as an additional parameter to the Analyze Document Queries API request. Adapters can be created via the console or programmatically via the API. What is the account#? What is the account name/payer/drawer name? What is the bank name/drawee name?

APIs 102
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Q&A recap: crash course in Customer Success and SaaS metrics with Dave Kellogg

ChurnZero

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98
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WhatsApp Ticketing System: A Quick Set-Up Guide

JustCall

With aspects like multichannel support and varied products and services into account, businesses need a streamlined platform to reach customers and address their needs on time. You can also recruit chatbots to build an FAQ bank for your customers. WhatsApp Business has apps for small businesses and an API for large teams.

APIs 52
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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning

BloombergGPT: Philippe Donnet GPT-NeoX: Antonio De Lorenzo, Simone Gambarini, Enrico Zanetti FLAN-T5-XXL: John M Forsyth, Christopher K Peters, {empty string} Input: CEO of Silicon Valley Bank? ETS-DACP-com is similar to DACP with data selection by averaging all three metrics. the SEC assigned identifier).

Finance 98
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Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

AWS Machine Learning

However, bad actors increasingly deploy spoof attacks using the user’s face images or videos posted publicly, captured secretly, or created synthetically to gain unauthorized access to the user’s account. This can deter a bad actor using social media pictures of another person to open fraudulent bank accounts.

APIs 78
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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Fine-tune the pre-trained model on a new custom dataset.

Scripts 72