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Responsible AI at Google Research: Technology, AI, Society and Culture

Google Research AI blog

Our work advances Responsible AI (RAI) in areas such as computer vision , natural language processing , health , and general purpose ML models and applications. Below, we share examples of our approach to Responsible AI and where we are headed in 2023.

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Gemma 3: Google’s Answer to Affordable, Powerful AI for the Real World

Unite.AI

Google's safety evaluations indicate that its low misuse risk further enhances its appeal by promoting responsible AI deployment. The Gemma 3 Academic Program also offers up to $10,000 credits to support academic researchers exploring AI in their fields.

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Automate building guardrails for Amazon Bedrock using test-driven development

AWS Machine Learning Blog

This is where the concept of guardrails comes into play, providing a comprehensive framework for implementing governance and control measures with safeguards customized to your application requirements and responsible AI policies. Her interests include computer vision, natural language processing, and edge computing.

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Rohan Malhotra, Founder & CEO of Roadzen – Interview Series

Unite.AI

Rohan Malhotra is the CEO, founder and director of Roadzen , a global insurtech company advancing AI at the intersection of mobility and insurance. Roadzen has pioneered computer vision research, generative AI and telematics including tools and products for road safety, underwriting and claims.

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AI News Weekly - Issue #351: AI-focused tech firms locked in ‘race to the bottom’, warns MIT professor - Sep 21st 2023

AI Weekly

pitneybowes.com In The News How Google taught AI to doubt itself Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. [Get your FREE eBook.] Get your FREE eBook.]

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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

Flipboard

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit

Analytics Vidhya

Introduction We talk about AI almost daily due to its growing impact in replacing humans’ manual work. Building AI-enabled software has rapidly grown in a brief time. Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue.