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.
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.
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.
US copyright cases against OpenAI and Microsoft, involving authors like Ta-Nehisi Coates and John Grisham, consolidated in New York for efficiency. Centralization aims to streamline proceedings and avoid inconsistent rulings, despite opposition from authors and news outlets.
AI diagnostic tool delayed; Nice slow to evaluate. Govt rhetoric vs reality highlighted. Bowel cancer screening extended.
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.
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.
Businesses are migrating from OpenAI to Amazon Nova for cost-efficient AI models with broader capabilities. Amazon Nova offers various models like Pro, Lite, and Micro, each optimized for different applications with lower costs and higher efficiency.
Machine learning model interpretability can be challenging. Experiment reveals age and income have the most significant impact on predicting political leanings.
Afrofuturism questions who shapes the future in the face of AI's potential to both illuminate and obliterate. Lonny Avi Brooks and Reynaldo Anderson advocate for diverse perspectives in building liberated futures.
Reddit's $60M deal with Google to use user data for AI training raises privacy concerns. Vana offers a decentralized network where users own and control their data, reshaping AI development.
The Flash Attention algorithm revolutionizes transformers by optimizing memory access, making computations faster and more efficient. Flash Attention v3 introduces improvements for Nvidia Hopper and Blackwell GPUs, enhancing performance even further.
Legal contracts are crucial for businesses, but understanding and extracting insights can be complex. Implementing GraphRAG in Neo4j can streamline the process by structuring contracts into a knowledge graph, enabling more precise and context-aware retrieval.
AI agents in retail provide personalized experiences, enrich product knowledge, and offer omnichannel support, redefining customer shopping experiences with seamless integration and virtual try-on capabilities. Retailers leveraging AI prioritize hyper-personalized recommendations to boost online sales and customer satisfaction, according to NVIDIA's latest report.
Authors protest Meta's use of LibGen for AI training at King's Cross office. Kate Mosse, Tracy Chevalier among demonstrators.