NEWS IN BRIEF: AI/ML FRESH UPDATES

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Boost AI Training with NeMo on Amazon EKS

The NVIDIA NeMo Framework simplifies distributed training of large language models, optimizing for efficiency and scalability. Amazon EKS is recommended for managing NVIDIA NeMo, offering robust integrations and performance features for running training workloads.

Ensuring AI Trustworthiness: Pre-Deployment Assessment

Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models, like ChatGPT and DALL-E, before deployment. By training a set of slightly different models and assessing consistency, they can rank models based on reliability scores for various tasks.

Embracing AI: The Future of Art

Tate Modern's Electric Dreams exhibition explores artists embracing AI as opportunity, not threat, showcasing their longstanding relationship with technology. Director Catherine Wood highlights the symbiosis between art and technology, emphasizing their enduring connection.

Microsoft CTO Stands Firm on LLM Scaling Laws

Microsoft CTO Kevin Scott emphasizes the potential of large language model scaling laws in driving AI progress. Scott played a crucial role in the $13 billion technology-sharing deal between Microsoft and OpenAI, highlighting the impact of scaling up model size and training data on AI capabilities.