NEWS IN BRIEF: AI/ML FRESH UPDATES

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Maximize LLM Precision with EoRA

Quantization reduces memory usage in large language models by converting parameters to lower-precision formats. EoRA improves 2-bit quantization accuracy, making models up to 5.5x smaller while maintaining performance.

Vxceed partners with Amazon Bedrock for secure transport operations

Vxceed integrates generative AI into its solutions, launching LimoConnectQ using Amazon Bedrock to enhance customer experiences and boost operational efficiency in secure ground transportation management. The challenge: Balancing innovation with security to meet strict regulatory requirements for government agencies and large corporations.

The Monty Hall Dilemma: A Lesson in Decision Making

The Monty Hall Problem challenges common intuition in decision making. By examining different aspects of this puzzle in probability, we can improve data decision making. Stick with the original choice or switch doors? The answer may surprise you.

HyperPod recipes for customizing DeepSeek-R1 671b model

DeepSeek AI's DeepSeek-R1 model with 671 billion parameters showcases strong few-shot learning capabilities, prompting customization for various business applications. SageMaker HyperPod recipes streamline the fine-tuning process, offering optimized solutions for organizations seeking to enhance model performance and adaptability.

GOP Pushes for 10-Year Ban on State AI Regulations

US Republicans seek to block state laws regulating AI for 10 years in budget bill, aiming to prevent guardrails on automated decision-making systems. Proposed provision in House bill would restrict any state or local regulation of AI models or systems unless to facilitate deployment.

AI learns to talk like humans

Study finds AI agents can develop human-like social norms when communicating in groups, like humans. Research by City St George’s, University of London and IT University of Copenhagen.

Demystifying the Parquet File Format

Apache Parquet is a game-changer in data storage, offering data compression, columnar storage, language flexibility, open-source format, and support for complex data types. Unlike traditional row-based storage, Parquet's column-based approach allows for faster data read operations, optimizing analytics workloads.