Companies that specialise in artificial intelligence, such as OpenAI, are working to overcome unforeseen obstacles and delays in their quest for ever-larger language models by creating training methods that employ more human-like ways for algorithms to “think.”
TakeAway Points:
- Artificial intelligence companies like OpenAI are seeking to overcome unexpected delays and challenges in the pursuit of ever-bigger large language models by developing training techniques that use more human-like ways for algorithms to “think”.
- According to some AI academics, scientists, and investors, these methods—which are the basis of OpenAI’s recently published o1 model—have the potential to change the AI arms race.
- 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.
Limitations drives the need for smarter AI
A dozen AI scientists, researchers, and investors said they believe that these techniques, which are behind OpenAI’s recently released o1 model, could reshape the AI arms race and have implications for the types of resources that AI companies have an insatiable demand for, from energy to types of chips.
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Source: https://techbullion.com/openai-and-others-seek-new-ways-for-smarter-ai/
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