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Efficient continual pre-training LLMs for financial domains | Amazon Web Services

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on...

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Preparing quantum many-body scar states on quantum computers

Erik J. Gustafson1,2, Andy C. Y. Li1,2, Abid Khan1,3,4,5, Joonho Kim1,6, Doga Murat Kurkcuoglu1,2, M. Sohaib Alam1,4,5, Peter P. Orth1,7,8,9, Armin Rahmani10, and...

Bitcoin News: BTC Price Drops To $2,700 On Binance, CZ Explains Why

In the last Bitcoin news, the price of the first cryptocurrency by market cap has been experiencing some gains on low timeframes. However, traders...

Best practices and design patterns for building machine learning workflows with Amazon SageMaker Pipelines | Amazon Web Services

Amazon SageMaker Pipelines is a fully managed AWS service for building and orchestrating machine learning (ML) workflows. SageMaker Pipelines offers ML application developers the...

Baldurs Gate 3 Difficulty Settings Explained

Baldur’s Gate 3 launches with three different difficulty settings for players to enjoy as they play through the title. Each setting has something different...

Efficiently train, tune, and deploy custom ensembles using Amazon SageMaker | Amazon Web Services

Artificial intelligence (AI) has become an important and popular topic in the technology community. As AI has evolved, we have seen different types of...

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning | Amazon Web Services

Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening...

Universal equilibration dynamics of the Sachdev-Ye-Kitaev model

Soumik Bandyopadhyay1, Philipp Uhrich1, Alessio Paviglianiti1,2, and Philipp Hauke11Pitaevskii BEC Center, CNR-INO and Dipartimento di Fisica, Università di Trento, Via Sommarive 14, Trento, I-38123,...

On relating one-way classical and quantum communication complexities

Naresh Goud Boddu1, Rahul Jain2, and Han-Hsuan Lin31NTT Research, Sunnyvale, California, USA2Centre for Quantum Technologies and Department of Computer Science, National University of...

Both Sides of the Partnership: Executing Lyft’s “Impossible” Ask

If business partnerships are a high-stakes form of matchmaking, then the strategic partnership between Lyft and the automotive services giant Holman was something of...

Healthcare Marketplaces, Where Art Thou?

 TABLE OF CONTENTS At a16z, marketplaces represent one of our favorite business models. Our annual Marketplace 100 provides insight into the latest consumer marketplace...

AI/ML-driven actionable insights and themes for Amazon third-party sellers using AWS

The Amazon International Seller Growth (ISG) team runs the CSBA (Customer Service by Amazon) program that supports over 200,000 third-party Merchant Fulfilled Network (MFN)...

Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning

Model tuning is the experimental process of finding the optimal parameters and configurations for a machine learning (ML) model that result in the best...

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