AI's shift to inference at scale from model development is tilting data-center demand toward databases, especially those used by chatbots, coding agents and other AI agents, Bloomberg Intelligence ...
Called the Wikidata Embedding Project, the system applies a vector-based semantic search to the existing data on Wikipedia ...
Pure Storage executives talk about why most artificial intelligence projects are about inference, during production, and why ...
While the front-end user experience will remain the same — no, Wikipedia is not becoming a chatbot, the project leaders say — ...
AI reasoning models like OpenAI's o1 and o3-mini redefine machine thinking by analyzing, inferring, and connecting data ...
Bizcommunity.com on MSN
The AI data paradox: Maximising reward while mitigating risk in high-value data services
Stephan ensures that Offernet’s data ecosystem consistently delivers the insights clients need to achieve growth and ...
The global nonprofit WITNESS seeks to address one of the biggest data gaps in the digital verification landscape: the dependence on tools-based methods that lack local knowledge.
Wikimedia Deutschland announced a new database today, October 1, that allows AI models to access Wikipedia’s extensive ...
RAG’s promise is straightforward: retrieve relevant information from knowledge sources and generate responses using an LLM.
Arabian Post on MSN
Wikidata Unveils Open Vector Database for AI Use
Wikimedia Deutschland has introduced a new vector database designed to make Wikidata’s knowledge graph directly usable by AI systems. The initiative, known as the Wikidata Embedding Project, aims to ...
Wikimedia Deutschland has revealed a new project to make information on Wikipedia accessible to artificial intelligence (AI) ...
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