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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

The Amazon Nova family of models includes Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro, which support text, image, and video inputs while generating text-based outputs. FloTorch used these queries and their ground truth answers to create a subset benchmark dataset. will not give you the correct answer (one Grammy).

Benchmark 112
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Scalable training platform with Amazon SageMaker HyperPod for innovation: a video generation case study

AWS Machine Learning

Video generation has become the latest frontier in AI research, following the success of text-to-image models. This text-to-video API generates high-quality, realistic videos quickly from text and images. When extended to videos, this iterative process must be applied to multiple frames, multiplying the computational load.

Scripts 120
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Video auto-dubbing using Amazon Translate, Amazon Bedrock, and Amazon Polly

AWS Machine Learning

Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer engagement, and expanding market reach.

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning

Current evaluations from Anthropic suggest that the Claude 3 model family outperforms comparable models in math word problem solving (MATH) and multilingual math (MGSM) benchmarks, critical benchmarks used today for LLMs. Media organizations can generate image captions or video scripts automatically.

Benchmark 145
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Optimized PyTorch 2.0 inference with AWS Graviton processors

AWS Machine Learning

We have seen a similar trend in the price-performance advantage for other workloads on Graviton, for example video encoding with FFmpeg. wheels and set the previously mentioned environment variables # Clone PyTorch benchmark repo git clone [link] # Setup Resnet50 benchmark cd benchmark python3 install.py

Benchmark 109
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10 effective tips for training WFH contact center agents

Talkdesk

Say “Hi” to the team Kick off training with a video introduction from the call center managing director, department heads and agent supervisors. It would also be helpful to give new hires information on which KPIs managers will assess, how these are tied to performance evaluations, and practical tips on how to hit their KPI benchmarks.

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Testing times: testingRTC is the smart, synchronized, real-world scenario WebRTC testing solution for the times we live in.

Spearline

It also shows an aggregation graph underneath showing information for both voice and video performance. You can check framerate information for video here too. Flip the script With testingRTC, you only need to write scripts once, you can then run them multiple times and scale them up or down as you see fit.

Scripts 98