Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...
Learn how LLMs pick sources and how small content changes can influence ChatGPT and Google AI answers. See real tests, RAG insights, and practical steps to optimize your brand for AI search.
You can stop looking for glitches in the Matrix—it’s finally been proven that our universe is not merely a simulation running on some powerful alien civilization’s supercomputer. An international team ...
Researchers from Anthropic investigated Claude 3.5 Haiku’s ability to decide when to break a line of text within a fixed width, a task that requires the model to track its position as it writes. The ...
Abstract: Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word ...
Abstract: Phishing attacks continue to be a prevalent cyber-security threat that mimics trusted websites to steal sensitive user information. This results in considerable personal and organisational ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this article, author Elakkiya Daivam ...
A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...
SAN FRANCISCO, Aug. 07, 2025 (GLOBE NEWSWIRE) -- Silicon Valley startup, iFrame(TM) AI, has quietly secured a nearly $20 million deal with a leading cloud provider to launch the world's first Large ...
Google DeepMind has announced the AlphaEarth Foundations, an AI model designed to function like a virtual satellite and to characterize the planet’s terrestrial land and coastal waters by integrating ...
As large language models (LLMs) become foundational to modern AI systems, the ability to run them at scale—efficiently, reliably, and in near real-time—is no longer a nice-to-have. It’s essential. The ...
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