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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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AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

AI Weekly

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Welcome Interested in sponsorship opportunities? politico.eu

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

Reproducibility, integral to reliable research, ensures consistent outcomes through experiment replication. In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Multiple factors contribute to the reproducibility crisis in AI research.

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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

Organizations of every size and across every industry are looking to use generative AI to fundamentally transform the business landscape with reimagined customer experiences, increased employee productivity, new levels of creativity, and optimized business processes.

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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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Google AI Research Introduces Patchscopes: A Revolutionary AI Framework for Decoding and Enhancing the Interpretability of Large Language Models

Marktechpost

The ability of Patchscopes to demystify LLMs’ often opaque decision-making process is impressive, bringing AI closer to human rationale and ethical standards. All credit for this research goes to the researchers of this project. Check out the Paper. Also, don’t forget to follow us on Twitter.

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AgentLite by Salesforce AI Research: Transforming LLM Agent Development with an Open-Source, Lightweight, Task-Oriented Library for Enhanced Innovation

Marktechpost

Researchers are considering the fusion of large language models (LLMs) with AI agents as a significant leap forward in AI. A research team from Salesforce AI Research presents AgentLite , an open-source AI Agent library that simplifies the design and deployment of LLM agents.

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