Marktechpost

OCTOBER 25, 2024

GLM-4-Voice brings us closer to a more natural and responsive AI interaction, representing a promising step towards the future of multi-modal AI systems. Features like adjustable emotional tones, dialect support, and lower latency position this model to impact personal assistants, customer service, entertainment, and education.

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Marktechpost

OCTOBER 14, 2024

Additionally, setting up access controls and limiting how often each user can access the data is important for building responsible AI systems, and reducing potential conflicts with people’s private data. To address this, data users need to apply strong and reliable defense strategies and methods. Check out the Paper.

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Marktechpost

OCTOBER 21, 2024

A team of researchers from Microsoft Responsible AI Research and Johns Hopkins University proposed Controllable Safety Alignment (CoSA) , a framework for efficient inference-time adaptation to diverse safety requirements. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 104

Large Language Models Inference Engine LLM AI 104

Marktechpost

OCTOBER 23, 2024

Differentiating human-authored content from AI-generated content, especially as AI becomes more natural, is a critical challenge that demands effective solutions to ensure transparency. Conclusion Google’s decision to open-source SynthID for AI text watermarking represents a significant step towards responsible AI development.

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