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s5eeo

@s5eeo

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It's not new, but Meta released multiple versions of SPIRIT-LM a while back, a multimodal language model that mixes text and speech. Sharing it here because I didn't know it's out there. And it's open-source. "Large language models are frequently used to build text-to-speech pipelines, wherein speech is transcribed by automatic speech recognition (ASR), then synthesized by an LLM to generate text, which is ultimately converted to speech using text-to-speech (TTS). However, this process compromises the expressive aspects of the speech being understood and generated. In an effort to address this limitation, we built Meta Spirit LM, our first open source multimodal language model that freely mixes text and speech." They also have a demo page with samples: speechbot.github.io/spiritlm/ Sounds like there is room for improvement but this is the worst it will ever be.
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They have a demo of this now on Huggingface: https://huggingface.co/spaces/zama-fhe/encrypted_dna Concept is: 1. Data (e.g. DNA) is encrypted on the client side and sent to a server / service 2. Encrypted data is processed (e.g. DNA analysis, generation of health risk reports etc.) on the server and sent back to the client 3. Results are decrypted on the client side Would love to see this applied on a commercial scale. The data leak at 23andMe underscores that this is important. When using services on your sensitive data no longer requires direct access, it should also lower the barrier of entry for new companies in this space, since the trust barriers are lowered if you never hand over your unencrypted data anyway. So another benefit of this tech is that it could ultimately also lead to a more vibrant ecosystem of services that rely on processing personal data. https://warpcast.com/s5eeo/0xcb591e74
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