For years, it seemed obvious that the best way to scale up artificial intelligence models was to throw more upfront computing resources at them. The theory was that performance improvements are ...
MIT researchers achieved 61.9% on ARC tasks by updating model parameters during inference. Is this key to AGI? We might reach the 85% AGI doorstep by scaling and integrating it with COT (Chain of ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Very small language models (SLMs) can ...
Last month, AI founders and investors told TechCrunch that we’re now in the “second era of scaling laws,” noting how established methods of improving AI models were showing diminishing returns. One ...
Google on Wednesday said it has adapted its Gemini 2.0 large language model artificial intelligence offering to make it generate novel scientific hypotheses in a fraction of the time taken by teams of ...
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify three eras underlying the advent ...
OpenAI's recent o3 breakthrough signals massive demand for Nvidia Corporation's inference GPUs in the coming years. Nvidia now has two major vectors of scaling to pull demand from, which are ...
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