NEWS IN BRIEF: AI/ML FRESH UPDATES

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Trump Keeps Coal Plants Running

Donald Trump signs executive orders to boost coal industry, sparking environmentalist backlash over impact on climate change. Environmentalists criticize move as regressive, claiming it will increase costs for consumers and hinder progress towards cleaner energy sources.

Master Prompt Caching on Amazon Bedrock

Amazon Bedrock now offers prompt caching with Anthropic’s Claude 3.5 Haiku and Claude 3.7 Sonnet models, reducing latency by up to 85% and costs by 90%. Mark specific portions of prompts to be cached, optimizing input token processing and maximizing cost savings.

Efficient Multi-Tenancy in Amazon Bedrock with Metadata Filtering

Amazon Bedrock offers high-performing foundation models and end-to-end RAG workflows for creating accurate generative AI applications. Utilize S3 folder structures and metadata filtering for efficient data segmentation within a single knowledge base, ensuring proper access controls across different business units.

Mastering Uncertainty in Home Valuations

Automated Valuation Models (AVMs) use AI to predict home values, but uncertainty can lead to costly mistakes. AVMU quantifies prediction reliability, aiding smarter decisions in real estate purchases.

WhatsApp's AI Tool: Not Without a Fight Polly Hudson

Meta's new AI circle on WhatsApp sparks fear and fury among users, raising concerns about privacy and surveillance in the metaverse. Users question if they are unwittingly trading their data for convenience, highlighting the importance of reading terms and conditions.

AI and Authorship: A Creative Collaboration

Authors criticize Meta for using their work to train AI, but isn't creativity built on past ideas? Examples like McEwan and Orwell show how artists have always drawn inspiration from others. The publishing industry is accused of producing copycat books that mimic successful trends.

Amazon Bedrock Evaluations: Simplifying Model Assessment

Amazon Bedrock Evaluations now offers general availability of LLM-as-a-judge and RAG evaluation features, with new BYOI capabilities for external RAG systems. New citation metrics provide deeper insights into RAG system accuracy and relevance, optimizing AI performance and quality.

Revolutionizing Loan Approvals with AI

Lumi, an Australian fintech lender, uses Amazon SageMaker AI to provide fast loan decisions with accurate credit assessments. They combine machine learning with human judgment for efficient and accurate risk management.

Enhancing Radiologist Diagnostic Accuracy

Radiologists' language can mislead - new MIT study shows overconfidence when using terms like "very likely" vs "possibly." Framework developed to improve radiologists' accuracy in reporting pathologies, benefiting patient care.