The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. Google has boosted its BigQuery ...
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
AI research from Microsoft shows that large‑scale LLMs use far less energy and water per query, improving efficiency and ...
Google Cloud today unveiled a series of new data analytics capabilities aimed at streamlining enterprises’ use of unstructured used to train artificial intelligence models. The updates include ...
As agent-based AI systems grow more sophisticated, developers are moving well beyond basic Retrieval-Augmented Generation (RAG) into a new era of autonomous, tool-integrated, and multi-agent ...
There’s one major way in which Google’s AI-powered search feature AI Mode differs from its traditional search engine — a complex technique used to answer a user’s question called “query fan-out.” AI ...
Learn how to use query fan-out tools to improve AI search rankings on platforms like ChatGPT and AI Overviews, and track your optimization results. In AI search, query fan-out refers to the expansion ...
Next up in our series, I'll show you how to cut through reasoning text to receive the answer to your AI query. In the previous blog post in this series, I showed you how to get DeepSeek-R1 up and ...
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