NEWS IN BRIEF: AI/ML FRESH UPDATES

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Supercharge Your Models: The Power of Ensembling

Bagging and boosting are essential ensemble techniques in machine learning, improving model stability and reducing bias in weak learners. Ensembling combines predictions from multiple models to create powerful models, with bagging reducing variance and boosting iteratively improving on errors.

AlphaEvolve: Revolutionizing Algorithms

Google DeepMind introduced AlphaEvolve, an AI system that evolves code, discovering new algorithms for coding and data analysis. Using Genetic Algorithms and Gemini Llm, AlphaEvolve prompts, mutates, evaluates, and breeds code for optimal solutions.

Mastering Machine Learning Math

Maths skills are crucial for research-based roles at companies like Deepmind and Google Research, while industry roles require less depth. Higher education correlates with higher earnings in machine learning.

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.

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.

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.