Organizations turn to synthetic data to navigate privacy regulations and data scarcity in AI development. Amazon Bedrock offers secure, compliant, and high-quality synthetic data generation for various industries, addressing challenges and unlocking the potential of data-driven processes.
Transformer-based LLMs have advanced in tasks, but remain black boxes. Anthropic's new paper on circuit tracing aims to reveal LLMs' internal logic for interpretability.
Australian team revives US composer Alvin Lucier, sparking AI authorship debate. Eerie symphony plays without musicians, only a fragment of a performer remains.
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.
John Hinkley compares AI to a piano in creative industries. Reform UK leaflet grumbles about bin collection, prompting nerdish suggestions.
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.
NVIDIA highlights physical AI advancements during National Robotics Week, showcasing technologies shaping intelligent machines across industries. IEEE honors NVIDIA researchers for groundbreaking work in scalable robot learning, real-world reinforcement learning, and embodied AI.
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.
Evolutionary optimization training for Kernel Ridge Regression shows promise but caps at 90-93% accuracy due to scalability issues. Traditional matrix inverse technique outperforms in accuracy and speed.
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.
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.
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.
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.
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.
Large language models (LLMs) can be fine-tuned using reinforcement learning from human feedback to align with user preferences. This method, known as superalignment, allows LLMs to adjust parameters directly to preference datasets, bypassing the need for human annotation services.