As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
The AI world continues to evolve rapidly, especially since the introduction of DeepSeek and its followers. Many have concluded that enterprises don't really need the large, expensive AI models touted ...
SANTA CLARA, CA - January 13, 2026 - - As generative artificial intelligence continues to influence how software is designed, built, and deployed, engineers and data professionals are increasingly ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI-driven world.
When systems lack interpretability, organizations face delays, increased oversight, and reduced trust. Engineers struggle to isolate failure modes. Legal and compliance teams lack the visibility ...
Overview: Large Language Models predict text; they do not truly calculate or verify math.High scores on known Datasets do not ...
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Where have the really big AI models gone?
For most of the past half-decade, AI progress has been powered by ever greater amounts of computing power. Each major model has been trained on orders of magnitude more data than its predecessor, with ...
There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...
A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...
There’s been a lot of talk of an AI bubble lately, especially regarding circular funding involving companies like OpenAI and Anthropic—but Clem Delangue, CEO of machine-learning resources hub Hugging ...
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