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Steal the code (ethically) and get better at ML/AI research

Analytics Vidhya

The post Steal the code (ethically) and get better at ML/AI research appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Okay! I know that stealing is a crime and we should.

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

In particular, the instances of irreproducible findings, such as in a review of 62 studies diagnosing COVID-19 with AI , emphasize the necessity to reevaluate practices and highlight the significance of transparency. Multiple factors contribute to the reproducibility crisis in AI research.

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Salesforce AI Research Unveils APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Marktechpost

Researchers from Salesforce AI Research propose APIGen, an automated pipeline designed to generate diverse and verifiable function-calling datasets. In conclusion, the researchers present APIGen, a novel framework for generating high-quality and diverse function-calling datasets, addressing a critical challenge in AI research.

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Open Artificial Knowledge (OAK) Dataset: A Large-Scale Resource for AI Research Derived from Wikipedia’s Main Categories

Marktechpost

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has highlighted the critical need for large, diverse, and high-quality datasets to train and evaluate foundation models. OAK dataset offers a comprehensive resource for AI research, derived from Wikipedia’s main categories.

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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This AI Research from Ohio State University and CMU Discusses Implicit Reasoning in Transformers And Achieving Generalization Through Grokking

Marktechpost

All credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter and join our 46k+ ML SubReddit , 26k+ AI Newsletter, Telegram Channel , and LinkedIn Gr oup. If You are interested in a promotional partnership (content/ad/newsletter), please fill out this form.

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This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding

Marktechpost

Don’t Forget to join our 46k+ ML SubReddit If You are interested in a promotional partnership (content/ad/newsletter), please fill out this form. The post This AI Research from Tenyx Explore the Reasoning Abilities of Large Language Models (LLMs) Through Their Geometrical Understanding appeared first on MarkTechPost.