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Responsible AI at Google Research: The Impact Lab

Google Research AI blog

The Impact Lab team, part of Google’s Responsible AI Team , employs a range of interdisciplinary methodologies to ensure critical and rich analysis of the potential implications of technology development. We examine systemic social issues and generate useful artifacts for responsible AI development.

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Or Lenchner, CEO of Bright Data – Interview Series

Unite.AI

Becoming CEO of Bright Data in 2018 gave me an opportunity to help shape how AI researchers and businesses go about sourcing and utilizing public web data. What are the key challenges AI teams face in sourcing large-scale public web data, and how does Bright Data address them?

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AI News Weekly - Issue #350: TIME100 AI list : 100 most influential people in AI - Sep 14th 2023

AI Weekly

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? As it relates to businesses, AI has become a positive game changer for recruiting, retention, learning and development programs.

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LG AI Research Releases EXAONE 3.5: Three Open-Source Bilingual Frontier AI-level Models Delivering Unmatched Instruction Following and Long Context Understanding for Global Leadership in Generative AI Excellence

Marktechpost

LG AI Research has released bilingual models expertizing in English and Korean based on EXAONE 3.5 The research team has expanded the EXAONE 3.5 models demonstrate exceptional performance and cost-efficiency, achieved through LG AI Research s innovative R&D methodologies. The EXAONE 3.5 model scored 70.2.

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Responsible AI at Google Research: PAIR

Google Research AI blog

Posted by Lucas Dixon and Michael Terry, co-leads, PAIR, Google Research PAIR (People + AI Research) first launched in 2017 with the belief that “AI can go much further — and be more useful to all of us — if we build systems with people in mind at the start of the process.”

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Meet Jupyter AI: A New Open-Source Project that brings Generative Artificial Intelligence to Jupyter Notebooks with Magic Commands and a Chat Interface

Flipboard

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts. All Credit For This Research Goes To the Researchers on This Project.

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Process formulas and charts with Anthropic’s Claude on Amazon Bedrock

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_5.png"

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