Retrieval-augmented generation (RAG) enhances generative AI with specific data sources, improving accuracy and trustworthiness. RAG helps models provide authoritative answers, clear ambiguity, and prevent incorrect responses, revolutionizing user trust.
Amazon Bedrock utilizes generative AI to create intelligent supply chain solutions, mitigating risks and improving agility. Its visual workflow builder connects data sources and AWS services for end-to-end solutions, ensuring resilience in the face of disruptions.
Digital pathology is transforming cancer diagnosis with AI-powered computational pathology. French startup Bioptimus released H-optimus-0, the world's largest FM for pathology, setting a new benchmark in medical diagnostics.
OpenAI's Sam Altman faces allegations of unauthorized use of chatbot models by a Chinese hedge fund, causing market chaos. OpenAI responds with a statement promising to protect their technology aggressively.
A 6-year Shopify case study reveals the delicate balance between product focus and diversification for optimal business success. Learn how understanding concentration in your product portfolio impacts crucial decisions, with practical strategies and interactive visualizations provided.
OpenAI responds to cheaper Chinese rival with free o3-mini AI model for ChatGPT users, following DeepSeek's unexpected success. Users can access the new AI model without charge, but with usage limits, in response to increased competition.
Chinese AI company DeepSeek's new chatbot rivals OpenAI's ChatGPT with superior performance and efficiency, causing a stir in US tech stocks. The Guardian explores DeepSeek's breakthrough, addressing security, censorship, and the impact on the US AI industry.
Foundation models (FMs) are surpassing supervised learning in text classification tasks, with benefits like rapid development and extensibility using Amazon Bedrock. Travelers and GenAIIC collaborated to build an FM-based classifier for automating service request emails, saving thousands of hours with 91% accuracy.
AI projects differ from traditional software development in their iterative approach, emphasizing discovery and adaptation. The AI development lifecycle includes problem definition, data preparation, model development, evaluation, deployment, and monitoring.
MIT chemists use generative AI to predict 3D genome structures, revolutionizing analysis speed and cell-specific gene expression research. Their model, ChromoGen, can quickly analyze DNA sequences to determine chromatin structures in single cells, opening new research opportunities.
Elton John, Paul McCartney, and artists demand protection from data crawling. Tech giants exploit AI rules, sparking legislation debate.
Lawyer referred for using ChatGPT in court filings, generating fake case citations. Immigration minister calls for action to prevent such behavior.
New GeForce RTX 5090 & 5080 GPUs with Blackwell architecture power AI content creation. FLUX models require less VRAM & generate images faster.
Secret sharing ensures secure distribution of sensitive data among parties. Shamir’s algorithm allows parties to pool data without revealing individual values.
Data-centric AI can create efficient models; using just 10% of data achieved over 98% accuracy in MNIST experiments. Pruning with "furthest-from-centroid" selection strategy improved model accuracy by selecting unique, diverse examples.