A new trend in artificial intelligence is prioritizing a slower approach for chatbots by employing test-time compute, which allows models to reason more effectively. Instead of just enhancing model size, tech companies like OpenAI and Google focus on granting additional time for AI systems to process information during inference tasks. This method enables structured interventions for double-checking responses, significantly improving accuracy, particularly in quantitative tasks like coding and math. Researchers, such as Amanda Bertsch at Carnegie Mellon University, highlight the enhancements achieved through this strategy in AI's performance on complex problems.
By allowing additional seconds or minutes to elapse between a user's prompt and the program's response, some AI developers have seen a dramatic jump in the accuracy of chatbot answers.
The places we've seen the most exciting improvements are things like code and math, says Amanda Bertsch, a fourth-year computer science Ph.D. student.
Collection
[
|
...
]