Researchers have developed a technique called natural language embedded programs (NLEPs) that improves the performance of large language models by generating Python programs to solve complex tasks.

RewindAgain@futurology.today · 4 months ago

Researchers have developed a technique called natural language embedded programs (NLEPs) that improves the performance of large language models by generating Python programs to solve complex tasks.

mozz@mbin.grits.dev · 4 months ago

Isn’t this what GPT has been doing (with a somewhat limited level of success) for quite a while?

I feel like scitechdaily.com is mostly an exercise in repackaging very surface-level stories to harvest clicks, not really all that deep or informative. Just MO on it. I looked at the story, and it’s a little more sophisticated than what GPT has already been doing for a while, so maybe that’s unfair, but it still seems like a weirdly notable omission to make it sound more breakthrough-y than it is.

Researchers have developed a technique called natural language embedded programs (NLEPs) that improves the performance of large language models by generating Python programs to solve complex tasks.

Researchers have developed a technique called natural language embedded programs (NLEPs) that improves the performance of large language models by generating Python programs to solve complex tasks.

Programmatic Breakthrough: AI’s Leap From Language to Logic To Solve Complex Problems