As photos and videos created or edited with AI become more ubiquitous, @Adobe hopes its new "Content Credentials" icon and accompanying “nutrition label" will become a new standard for GenAI content. #AdobeMax #GenAI
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AI as Content Creation Tool: Ethics and Transparency Matter
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Honesty is crucial in content creation, and AI is just another (super powerful) tool like having a human editor review your article or book, or Grammarly on steroids.
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Cosmian: Running LLMs with Encrypted Data Privacy Layers
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17 – Cosmian (
@CosmianOfficial
) presented by Hugo Rosenkranz-Costa, showcased how one can run LLMs with an data encryption layers, so user data remains encrypted and private Presentation: https://
docs.google.com/presentation/d
/1pAv1DIR7b1h2maAygRRcs6cNyCXvMG8XUZ3M7A6JaH4/edit#slide=id.g288027c00d1_0_4
… https://
cosmian.com -
Coqui XTTS: Open Source Text-to-Speech with Voice Cloning
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18 – CoquiTTS (
@coqui_ai
) – @_josh_meyer_ and the Coqui team presented XTTS: A fully open source text to speech and voice generation model competitive with the commercial offerings, including instant-voice cloning http://
hf.co/spaces/coqui/X
TTS
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HelloHola: AI Speech Translation with Lip Sync
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15 – HelloHola presented by @gary_Offbeat
, it translates speech into a chosen language, maintaining your style and synchronizing lip movements, check them out @ -
Zama AI: Fully Homomorphic Encryption for Secure AI
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13 – Zama AI, presented by Benoit Chevallier-Mames – a company building open source fully homomorphic encryption (FHE) solutions for AI https://
zama.ai Specifically, their demo of a sentiment analysis application on encrypted data: -
NuMind Releases State-of-the-Art Multilingual Named Entity Recognition Models
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12 – NuMind, presented by Sergei Bogdanov and team, just released state of the art multilingual named entity recognition models https://
numind.ai -
TitanML Inference Server: LLM Output Control and Performance
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10 – TitanML presented by their CEO @MeryemArik9 and team, two demos of their takeoff Inference Server: 1. Controlling LLM outputs to fit a regex form 2. Performance of our rust inference server vs FastAPI website: https://
titanml.co profile: -
Hexamind: AI and ML for Customer Relations Management
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8 – Hexamind – presented by Yves Peligry, they showcased Hexamind: a startup for using AI and ML for customer relations, check out their 5 demos in their HF org: