NEW YORK, Nov 12 — Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by...
Travel alert: Heavy traffic expected at Singapore’s Tuas, Woodlands checkpoints amid year-end school holiday rush from Nov 15 to Jan 1
But now, some of the most prominent AI scientists are speaking out on the limitations of this “bigger is better” philosophy. Sutskever declined to share more details on how his team is addressing the issue, other than saying SSI is working on an alternative approach to scaling up pre-training. To overcome these challenges, researchers are exploring “test-time compute,” a technique that enhances existing AI models during the so-called “inference” phase, or when the model is being used. For example, instead of immediately choosing a single answer, a model could generate and evaluate multiple possibilities in real-time, ultimately choosing the best path forward.
The O1 model can “think” through problems in a multi-step manner, similar to human reasoning. It also involves using data and feedback curated from PhDs and industry experts.
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