Retrieval-augmented generation, or RAG, combines a generative model with a search step that supplies relevant information at request time. A system converts the query into a searchable representation, retrieves passages from approved sources, and includes them as context for the model’s response. This approach can provide current or organization-specific facts without retraining the model and can support citations. Quality depends on document preparation, indexing, permissions, retrieval ranking, context limits, and the model’s ability to use evidence correctly. RAG reduces some unsupported claims but does not eliminate them: sources may be outdated, relevant material may be missed, and the model may still distort or ignore retrieved information.
HappyHorse-1.0, an open-source AI video model, has topped global benchmarks, outperforming leading proprietary systems and signaling a shift in the video generation market.
Meta shares climbed 7% after unveiling Muse Spark, its new multimodal AI model, signaling investor confidence in the company’s revamped AI strategy.
SoftBank has secured a $40 billion bridge loan to deepen its investment in OpenAI and accelerate its broader AI strategy.
AI-driven bots now generate more internet traffic than humans, according to a new report, highlighting the growing impact of automated systems online.
New research shows that telling AI models they are “experts” can reduce accuracy in tasks like coding and math, while improving safety and alignment outcomes.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Google has rolled out Canvas in AI Mode to all U.S. users in English, enabling people to create documents, dashboards, and interactive tools directly within Search. The feature provides a dynamic workspace for planning projects and building simple applications.
Andrej Karpathy argues AI coding agents now fundamentally change programming workflows, enabling long-running autonomous tasks and redefining software engineering.
MSCI introduces AI connectors enabling access to its data via MSCI ONE, ChatGPT, and Claude, debuting IndexAI Insights to deliver conversational index analytics powered by large language models.
ŌURA unveils a proprietary large language model for women’s health, combining clinical research and biometric data to deliver personalized, privacy-first AI guidance through Oura Advisor.