Remove mic-test
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The Perfect Zoom Set Up | Set Up Zoom Meeting

SurveySparrow

Test your Zoom call set up: Since every meeting is online these days, some of these might be world-altering for a business. Ctrl+Shift+M: Mute/unmute mic. Ctrl+Shift+M: Mute/unmute mic. Ctrl+Shift+M: Mute/unmute mic. Keep the background minimal and do not use anything gaudy or vulgar. Ctrl+Shift+A: Accept inbound call.

Meeting 98
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Employee surveys: Types, tips, and how-to guide

delighted

An employee survey hands the mic to employees and empowers them to share critical feedback as to what’s working – and what isn’t – about their work experience. After carefully reviewing your survey, test it with a smaller focus group to find any issues before distributing it to the larger employee base.

Survey 81
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Top 8 speech-to-text software tools to rejig your business

BirdEye

Test the microphone as per the instructions on the screen. You can enable Dictation in iPhones by: Tap the mic button next to the spacebar on your default iOS keyboard. All you need to do is tap the mic icon on the keyboard and start talking. Click on the mic icon and start speaking. Open a new document.

Software 111
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Train gigantic models with near-linear scaling using sharded data parallelism on Amazon SageMaker

AWS Machine Learning

Sharded data parallelism is purpose-built for extreme-scale models and uses Amazon in-house MiCS technology under the hood, a science effort to minimize the communication scale by bringing down expensive communication overhead rooted in parameter gathering and gradient synchronization. Activation checkpointing gradient_accumulation_steps:2.

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A Step-By-Step Guide to Creating Kickass Self-Service Screencasts

Kayako

First, this is a good test of your script. If this is your first time recording audio, you’re going to start with setting up your mic. I recommend trying a number of different mic positions and record the same snippet of text over and over to see how they compare. Why do it in this order? For two simple reasons.

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Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning

Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. SageMaker sharded data parallel – In MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud , Zhang et al.

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How HSR.health is limiting risks of disease spillover from animals to humans using Amazon SageMaker geospatial capabilities

AWS Machine Learning

round(2) return(layer) The following figure on the left shows the aggregation of the image classification from the test area scene in northern Peru aggregated to the district administrative level with the calculated change in the forest area between 2018–2023. set_index('metric')['weight'].to_dict() min()) / (layer['raw_idx'].max()