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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

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7 famous analytics and AI disasters

CIO

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment.

Analytics 218
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The Ethics of AI Comes Down to Conscious Decisions

Cloudera

An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. The public at large doesn’t know how algorithms work, so when technology acts in unexpected ways, it frustrates users. It’s not the machine’s fault. Big data and AI amplify the problem.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

billion in 2019, and is projected to reach $225.16 In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

Data 108
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Auditing ChatGPT – part I

Capgemini

Auditing ChatGPT – Part I Grégoire Martinon, Aymen Mejri, Hadrien Strichard, Alex Marandon, Hao Li Jan 12, 2024 Facebook Linkedin A Chorus of Disruption: From Cave Paintings to Large Language Models Since its release in November 2022, ChatGPT has revolutionized our society, captivating users with its remarkable capabilities.

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Find answers accurately and quickly using Amazon Q Business with the SharePoint Online connector

AWS Machine Learning - AI

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. This enables the Amazon Q large language model (LLM) to provide accurate, well-written answers by drawing from the consolidated data and information.

Azure 119
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Combating Fraud in Insurance with Data

Cloudera

million in 2019 to $7.9 from 2019 to 2024. The sizable impact from fraud on the insurance market is increasingly being addressed by fraud detection, prevention, and mitigation technology tools and services, creating a substantial fraud detection market. million by 2024, a CAGR of 25.8%

Insurance 101