Remove perspectives resource prompting-productivity-incorporating-generative-ai-into-existing-workflows
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The Art and Science of Crafting Effective Prompts for Generative AI

West Monroe

Key Takeaways Prompt engineering is the ability to guide the LLM output based on the prompt to give guardrails and exceptions—either through text or code—that improve the response of generative AI tools like ChatGPT. It’s clear that generative AI is a powerful tool that can boost productivity.

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Unlocking creativity: How generative AI and Amazon SageMaker help businesses produce ad creatives for marketing campaigns with AWS

AWS Machine Learning

Advertising agencies can use generative AI and text-to-image foundation models to create innovative ad creatives and content. In this post, we demonstrate how you can generate new images from existing base images using Amazon SageMaker , a fully managed service to build, train, and deploy ML models for at scale.

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Build knowledge-powered conversational applications using LlamaIndex and Llama 2-Chat

AWS Machine Learning

One popular approach is using Retrieval Augmented Generation (RAG) to create Q&A systems that comprehend complex information and provide natural responses to queries. With these state-of-the-art technologies, you can ingest text corpora, index critical knowledge, and generate text that answers users’ questions precisely and clearly.

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Top 5 Voice of Customer Programs for Building a Solid VoC Strategy

SurveySparrow

Voice of the Customer insights can shape product development , elevate customer experiences, and foster long-term client loyalty. Customer journey mapping : Visualize the end-to-end experience from the customer’s perspective, identify touchpoints, understand customer interactions, optimize the experience at each stage.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning

In today’s ever-evolving world of ecommerce, the influence of a compelling product description cannot be overstated. The manual creation of these descriptions across a vast array of products is a labor-intensive process, and it can slow down the velocity of new innovation.

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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning

Gemma was launched with a new Responsible Generative AI Toolkit that provides guidance and essential tools for creating safer AI applications with Gemma. This model is deployed using the text-generation-inference (TGI) deep learning container. Now consider a few instruction example prompts.

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