Remove APIs Remove Chatbots Remove Engineering Remove Scripts
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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. Wipro has used the input filter and join functionality of SageMaker batch transformation API.

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Generative AI, LLMs and AI Assistants: A Deep Dive into Customer Experience Technology

COPC

Related A Foundation for Exceptional Digital Self-Service Design Learn proven guidelines for the successful design and performance of IVR systems, chatbots and other self-service models of customer care. But it’s much more than enlisting engineers to call LLM APIs.

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Revolutionizing large language model training with Arcee and AWS Trainium

AWS Machine Learning

Dataset collection We followed the methodology outlined in the PMC-Llama paper [6] to assemble our dataset, which includes PubMed papers sourced from the Semantic Scholar API and various medical texts cited within the paper, culminating in a comprehensive collection of 88 billion tokens. Create and launch ParallelCluster in the VPC.

APIs 98
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Drive hyper-personalized customer experiences with Amazon Personalize and generative AI

AWS Machine Learning

Gartner predicts that “by 2026, more than 80% of enterprises will have used generative AI APIs or models, or deployed generative AI-enabled applications in production environments, up from less than 5% in 2023.” However, scripting appealing subject lines can often be tedious and time-consuming.

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Build a powerful question answering bot with Amazon SageMaker, Amazon OpenSearch Service, Streamlit, and LangChain

AWS Machine Learning

Amazon Lex provides the framework for building AI based chatbots. We implement the RAG functionality inside an AWS Lambda function with Amazon API Gateway to handle routing all requests to the Lambda. The Streamlit application invokes the API Gateway endpoint REST API. The API Gateway invokes the Lambda function.

APIs 75
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Build a contextual chatbot application using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. Chatbots also offer valuable data-driven insights into customer behavior while scaling effortlessly as the user base grows; therefore, they present a cost-effective solution for engaging customers.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

RELATED ARTICLE CRM Key Features For Customer Service Preparing for the Future: Advanced Technologies and Training Emerging technologies like artificial intelligence (AI) and chatbots are going to play a significant role in the collections industry. With NobelBiz Omni+ you don’t just make or take calls.