Open vs. closed models: AI leaders from GM, Zoom and IBM weigh trade-offs for enterprise use
Experts from General Motors, Zoom and IBM discuss how their companies and customers consider AI model selection.Read More
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Experts from General Motors, Zoom and IBM discuss how their companies and customers consider AI model selection.Read More
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Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends them diving into word meaning instead—an abrupt “phase transition” reminiscent of water flashing into steam. By revealing this hidden switch, researchers open a window into how transformer models such as ChatGPT grow smarter and hint …
Read more “Scientists discover the moment AI truly understands language”
Imagine a physician attempting to reach a cancerous nodule deep within a patient’s lung—a target the size of a pea, hidden behind a maze of critical blood vessels and airways that shift with every breath. Straying one millimeter off course could puncture a major artery, and falling short could mean missing the cancer entirely, allowing …
Read more “Formal guidelines can enable AI to precisely maneuver and position medical needles”
Model Context Protocol, or MCP, is gaining momentum. But, not everyone is fully onboard yet, as financial institutions sit and wait before adoption.Read More
Prime Day’s beauty bargains are live. We tested the gadgets, tracked the prices, and scanned hundreds of deals to find what’s actually worth it.
ChatGPT works by analyzing vast amounts of text, identifying patterns and synthesizing them to generate responses to users’ prompts. Color metaphors like “feeling blue” and “seeing red” are commonplace throughout the English language, and therefore comprise part of the dataset on which ChatGPT is trained.
Anthem will disappear in early 2026. The move comes as consumer group Stop Killing Video Games fights to preserve similar online service games.
Researchers have developed a technique that significantly improves the performance of large language models without increasing the computational power necessary to fine-tune the models. The researchers demonstrated that their technique improves the performance of these models over previous techniques in tasks including commonsense reasoning, arithmetic reasoning, instruction following, code generation, and visual recognition.
Event-driven multi-agent systems are a practical architecture for working with imperfect tools in a structured way.Read More