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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning

Use cases include custom chatbots, idea generation, entity extraction, classification, and sentiment analysis. Fine-tune the pre-trained model on domain-specific data To fine-tune a selected model, we need to get that model’s URI, as well as the training script and the container image used for training.

Finance 66
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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning

Use cases include custom chatbots, idea generation, entity extraction, classification, and sentiment analysis. Fine-tune the pre-trained model on domain-specific data To fine-tune a selected model, we need to get that model’s URI, as well as the training script and the container image used for training.

Finance 52
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11 Contact Center Technologies to Boost Customer Satisfaction

TechSee

Fully customizable, Enchant includes features such as unlimited Help Desk Inboxes, smart folders that update in real time, multiple knowledge base sites with their own set of articles, multiple messengers in a single account with each pointing to a different team or configured for a different website.

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The Impact of and Opportunity for Virtual Agents on Call Center Outsourcers

Xaqt

The Great Recession in 2008-2009 accelerated the offshoring trend as companies grappled with the economic downturn. Virtual Agents and Omnichannel bots are well suited for repetitive call types, such as: reservations, scheduling, FAQs, basic account queries and updates, checking order status and even level-one tech support.