Remove Auto-complete Remove LLM Remove UX Design
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Tool choice with Amazon Nova models

AWS Machine Learning Blog

In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the models own knowledge or context that it is provided. Lulu Wong is an AI UX designer on the Amazon Artificial General Intelligence (AGI) team.

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Boost employee productivity with automated meeting summaries using Amazon Transcribe, Amazon SageMaker, and LLMs from Hugging Face

AWS Machine Learning Blog

The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. They are designed for real-time, interactive, and low-latency workloads and provide auto scaling to manage load fluctuations. You can use other languages such as Spanish, French, or Portuguese, but the quality of the completions may degrade.

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Creating An Information Edge With Conversational Access To Data

Topbots

The article is written for product managers, UX designers and those data scientists and engineers who are at the beginning of their Text2SQL journey. To ensure a sufficient quantity of training examples, data augmentation can be used — for example, LLMs can be used to generate paraphrases for the same question. [3]

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Accelerate video Q&A workflows using Amazon Bedrock Knowledge Bases, Amazon Transcribe, and thoughtful UX design

AWS Machine Learning Blog

Not only are large language models (LLMs) capable of answering a users question based on the transcript of the file, they are also capable of identifying the timestamp (or timestamps) of the transcript during which the answer was discussed. Each citation can point to a different video, or to different timestamps within the same video.