Update README.md with refined list of products and backends #8131
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8131
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (2 Unrelated Failures)As of commit 1d49369 with merge base a5c7609 ( BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Feb 3, 2025
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| It covers a wide gamut of models including: LLMs (Large Language Models), CV (Computer Vision), ASR (Automatic Speech Recognition), TTS (Text to Speech). | ||
| It supports a wide range of models including LLMs (Large Language Models), CV (Computer Vision), ASR (Automatic Speech Recognition), and TTS (Text to Speech). | ||
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| Platform Support: | ||
| - Operating Systems: |
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later on, we should differentiate between host platform vs target platfrom, for now, okay.
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| **ExecuTorch** is an end-to-end solution for on-device inference and training. It powers much of Meta's on-device AI functionality including: Facebook, Oculus, Meta Glasses, Instagram, WhatsApp and more. | |||
| **ExecuTorch** is an end-to-end solution for on-device inference and training. It powers much of Meta's on-device AI experiences across Facebook, Instagram, Meta Quest, Ray-Ban Meta Smart Glasses, WhatsApp, and more. | |||
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@ali-khosh i think we should also say that it's not limited to Meta only
This was referenced Feb 11, 2025
This was referenced Feb 24, 2025
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Summary
Updating README.md with a refined list of products and backends. Include Qualcomm (important!) and use correct product names for Meta. Tweak the terminology broadly.
Adjusts #8126
cc @digantdesai @freddan80 @per @zingo @oscarandersson8218