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A new look at chatbots

TMP Direct

If you’re looking for ways to spice up your customer service department, then it’s time to look into chatbots. Chatbots have proved their mettle when it comes to simple transactional tasks; and now brands are looking to create interactions that are also memorable and experiential.

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Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. Prompt engineering makes generative AI applications more efficient and effective.

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Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

AWS Machine Learning

In the global retail industry, pre- and post-sales support are both important aspects of customer care. Real-time text classification To use Amazon Comprehend custom classification in real time , you need to deploy an API as the entry point and call an Amazon Comprehend model to conduct real-time text classification.

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Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning

Prompt engineering for zero-shot and few-shot NLP tasks on BLOOM models Prompt engineering deals with creating high-quality prompts to guide the model towards the desired responses. Prompt engineering can greatly improve the performance of zero-shot and few-shot learning models. Question: When was NLP Cloud founded?

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

The steps involved are as follows: The financial analyst poses questions via a platform such as chatbots. Large language models – The large language models (LLMs) are available via Amazon Bedrock, SageMaker JumpStart, or an API. with “Amazon reported total net sales of $514.0 Data exploration on stock data is done using Athena.

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2018: New Ways Cloud Will Enhance Customer Care

NICE inContact

For example, many companies are seeing the benefits of deploying cloud contact center integrated with cloud CRM solutions to inside sales staff. How will companies that have embraced the cloud for the contact center and sales applications across their businesses continue to benefit in 2018 and beyond? So, what comes next?

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5 Ways to Apply AI and Win Back Business

CSM Magazine

Facilitating customer self-service using automated contact channels, such as IVR and chatbots is a recognised method of reducing strain on contact centers during spikes in demand. Deploying a range of chatbots, each suited to a specific task, can greatly enhance the customer experience and deliver substantial benefits to the business.