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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

However, traditional dubbing methods are costly ( about $20 per minute with human review effort ) and time consuming, making them a common challenge for companies in the Media & Entertainment (M&E) industry. Welocalize benchmarks the performance of using LLMs and machine translations and recommends using LLMs as a post-editing tool.

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Contact Center and CX Expos Conferences and Summits – June 2018

Taylor Reach Group

The SWPP Annual Conference will provide multiple educational sessions, facilitated discussions on relevant topics, and a vendor showroom, as well as great food, exciting entertainment, and spectacular fun! Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Is it possible to achieve churn reduction?

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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

AWS Machine Learning

Zero factual knowledge scores across the benchmark can indicate a poorly formed golden question-answer-fact triplet – If a golden question doesn’t contain an obvious singular answer, or can be equivalently interpreted multiple ways, reframe the golden question or answer to be specific.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning

By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality. Running deterministic evaluation of generative AI assistants against use case ground truth data enables the creation of custom benchmarks.