NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI tool aims to reduce restraints on NDIS participants

New AI program aids in creating better disability support plans to reduce restraints and seclusion on individuals with disabilities. Promoting Positive Behaviour Support Practice program aims to guide carers and support workers in responding to challenging behavior respectfully and constructively.

Tailored Languages for Visual AI Efficiency

MIT's Jonathan Ragan-Kelley pioneers efficient programming languages for complex hardware, transforming photo editing and AI applications. His work focuses on optimizing programs for specialized computing units, unlocking maximum computational performance and efficiency.

Tech Unveils Secrets of Ancient Scrolls

AI tools used by researchers in Silicon Valley deciphered an ancient papyrus revealing Plato's final resting place in Athens. The discovery sheds new light on the legendary Greek philosopher's life and legacy.

Unleashing Amazon Titan Text Embeddings V2 on Bedrock

Amazon Titan Text Embeddings V2 offers improved features like multi-language support and lower pricing, making it ideal for various AI applications. Customers can now migrate to V2 for enhanced performance and cost-effectiveness in their projects.

Universal signs TikTok deal, artists return

TikTok and Universal Music Group resolve disputes, bringing back songs from artists like Olivia Rodrigo and Drake. Content was previously removed over issues including artist compensation and AI-generated music.

Enhancing Customer Satisfaction with Personalized Rewards on Amazon SageMaker

Large language models (LLMs) are increasingly used in AI applications, but customizing responses to align with organizational values poses challenges. Techniques like reward modeling in Amazon SageMaker help tailor LLM outputs to provide unique customer experiences. Human feedback for AI models is subjective, requiring nuanced approaches to improve quality and account for diverse preferences in...

The Evolution of Tool Use

LLMs are improving reasoning abilities, enabling them to plan and act, leading to exciting agent prompting templates like in the Voyager Paper. Voyager focuses on prompting LLMs to complete open-ended tasks, like playing Minecraft, using an automatic curriculum, iterative prompting, and a skill library.