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Speech Synthesis Markup Language (SSML) Reference
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AI and Efficiency
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Our results suggest that for AI tasks with high levels of recent investment, algorithmic progress has yielded more gains than classical hardware efficiency. Algorithmic improvement is a key factor driving the advance of AI. Download charts. Algorithmic efficiency can be defined as reducing the compute needed to train a specific capability. Efficiency gains on traditional problems like sorting are more straightforward to measure than in ML because they have a clearer measure of task difficulty.
Efficiency trends can be compared across domains like DNA sequencing month doubling , solar energy 6-year doubling , and transistor density 2-year doubling. For our analysis, we primarily leveraged open-source re-implementations to measure progress on AlexNet level performance over a long horizon. We saw a similar rate of training efficiency improvement for ResNet level performance on ImageNet month doubling time.
We saw faster rates of improvement over shorter timescales in Translation, Go, and Dota It can be helpful to think of compute in not being equal to compute in in a similar way that dollars need to be inflation-adjusted over time. A fixed amount of compute could accomplish more in than in Increases in algorithmic efficiency allow researchers to do more experiments of interest in a given amount of time and money. In addition to being a measure of overall progress, algorithmic efficiency gains speed up future AI research in a way that’s somewhat analogous to having more compute.
In addition to efficiency, many other measures shed light on overall algorithmic progress in AI.
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Collapse All Expand All. For example, you can add pauses and other speech effects. When the your skill returns a response to a user’s request, you provide text that the Alexa service converts to speech. Alexa automatically handles normal punctuation, such as pausing after a period, or speaking a sentence ending in a question mark as a question. However, in some cases you may want additional control over how Alexa generates the speech from the text in your response.
For example, you may want a longer pause within the speech, or you may want a string of digits read back as a standard telephone number.
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