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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Flipboard

Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment. Shweta Keshavanarayana is a Senior Customer Solutions Manager at AWS.

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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning Blog

This framework is designed as a compound AI system to drive the fine-tuning workflow for performance improvement, versatility, and reusability. Likewise, to address the challenges of lack of human feedback data, we use LLMs to generate AI grades and feedback that scale up the dataset for reinforcement learning from AI feedback ( RLAIF ).

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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through an exploration of the latest in AI and data science at ODSC West 2025 this October 28th-30th! Cameron Turner is founder and CEO of TRUIFY.AI, serving the US Fortune 500 with AI solutions.

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Announcing the First Speakers for ODSC West 2025

ODSC - Open Data Science

We’re thrilled to introduce you to the leading experts and passionate data and AI practitioners who will be guiding you through an exploration of the latest in AI and data science at ODSC West 2025 this October 28th-30th! Cameron Turner is founder and CEO of TRUIFY.AI, serving the US Fortune 500 with AI solutions.

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How AI Is Enabling Clinical Trial Diversity

ODSC - Open Data Science

When they use AI, they may spend far less time screening while maintaining the same level of accuracy. How AI Is Improving Patient Recruitment In the old days of clinical trial recruitment, researchers would post flyers in hospitals, rely on physician referrals, and hope for the best.

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Tensor Processing Units (TPUs)

Dataconomy

They are essential for processing large amounts of data efficiently, particularly in deep learning applications. What are Tensor Processing Units (TPUs)? History of Tensor Processing Units The inception of TPUs can be traced back to 2015 when Google developed them for internal machine learning projects.

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Everise just scooped a top award for its AI customer guru

Dataconomy

Everise announced that EverAI Labs, its AI-powered suite of customer experience solutions, won an award at the 2025 Artificial Intelligence Excellence Awards, presented by the Business Intelligence Group. The win acknowledges EverAI Labs’ dedication to setting new standards in the Business Process Outsourcing (BPO) space.