Remove APIs Remove Automotive Remove Chatbots
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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department.

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Automate chatbot for document and data retrieval using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. This post presents a solution for developing a chatbot capable of answering queries from both documentation and databases, with straightforward deployment.

Chatbots 131
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How Formula 1® uses generative AI to accelerate race-day issue resolution

AWS Machine Learning

During these live events, F1 IT engineers must triage critical issues across its services, such as network degradation to one of its APIs. This impacts downstream services that consume data from the API, including products such as F1 TV, which offer live and on-demand coverage of every race as well as real-time telemetry.

APIs 71
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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning

The number of companies launching generative AI applications on AWS is substantial and building quickly, including adidas, Booking.com, Bridgewater Associates, Clariant, Cox Automotive, GoDaddy, and LexisNexis Legal & Professional, to name just a few. With Amazon Bedrock, customers are only ever one API call away from a new model.

APIs 145
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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. You can then search for images using natural language queries, such as “Find images of red roses” or “Show me pictures of dogs playing in the park,” through the Amazon Kendra console, SDK, or API.

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Best prompting practices for using Meta Llama 3 with Amazon SageMaker JumpStart

AWS Machine Learning

Whether you’re building chatbots, content generators, or custom AI applications, these prompting strategies will help you harness the power of this cutting-edge model. Meta Llama 3 inference parameters For Meta Llama 3, the Messages API allows you to interact with the model in a conversational way.

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What is Omnichannel Customer Engagement & How to Improve It

NobelBiz

Example: A legacy call center system might not integrate well with newer digital channels like messaging apps or artificial intelligence-driven chatbots. Brad Dashnaw is the CEO of one of the top companies in the Digital Marketing space for Higher Education and Automotive Companies with over 4,000+ succesful clients.