powerful, accessible, and economically viable. OpenAI’s ChatGPT – based on user / usage / monetization metrics – is history’s biggest ‘overnight’ success (nine years post-founding). AI usage is surging among intelligence. The earliest wave saw CapEx pouring into building internet infrastructure – massive server farms, undersea cables, and early data centers that enabled Amazon, Microsoft, Google and others moving averages… AI DJ, we’re seeing amazing results, not just on quantitative metrics, but also on quality metrics, how people feel about Spotify, what they say they love about Spotify. - Spotify

by a model. 02 Summarization Evaluating how a model condenses information, using 
 agreed-upon-metrics for accuracy, relevance, and coherence. 03 Human trainers Comparing AI results to responses from the output of a model against 
 a benchmark—is it more accurate? More compliant? Safer? Your key metrics will depend on what matters most for each 
 use case. 8 AI in the EnterpriseLesson 2 Embed AI

space (~10 lines of Relay IR) - A few days of work - TVM sampling model running in 30us on single server CPU core - Beat hand-written, highly optimized baselines (https://github.com/mozilla/LPCNet) by

the compiled TVM to the SDCard Step 7: Install kernel module cma.ko and run apps/vta_rpc/start_rpc_server.sh Step 8: Configure vta/config/de10nano_config.json to vta_config.json Step 9: Go to vta/hardware/intel

Services, Inc. or its Affiliates. All rights reserved. Evaluation • Intel Cascade Lake 12-core Server • TFLite Pre-quantized Hosted Models© 2019, Amazon Web Services, Inc. or its Affiliates. All rights