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 ...
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 ...
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 ...
Researchers show that LLMs can reproduce copyrighted training data almost verbatim. This means headaches for model providers.
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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 ...
The growth of generative AI (gen AI) has been driven by high-profile large language models (LLMs), such as Open AI's GPT-4o, Google's Gemini, and Anthropic's Claude. However, while these larger models ...
Small changes in the large language models (LLMs) at the heart of AI applications can result in substantial energy savings, according to a report released by the United Nations Educational, Scientific ...
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