What can and can't language models do? Lessons learned from BIGBench
Por um escritor misterioso
Last updated 22 novembro 2024
So what exactly can and can’t language models do? What's the least impressive thing GPT-4 won't be able to do? What will GPT-4 be incapable of?
BIGBench is kind of a way to figure this out. BigBench, aka “The Beyond the Imitation Game” Benchmark, is an attempt to explore the capabilities of large language models over a wide variety of tasks. All the tasks are enumerated here.
I looked through every BIGBench task and took the ones that compared both GPT3 and PaLM against humans.
* Spreadsheet
444 Authors From 132 Institutions Release BIG-bench: A 204-Task
Large language models encode clinical knowledge
📈 Chartpack: Measuring AI (3/3)
Train foundation model for domain-specific language model
DeWeese Lab (@DeWeeseLab) / X
PDF) Language Models Don't Always Say What They Think: Unfaithful
When training AI, we should escalate the frequency of capability
Dual Process Theory for Large Language Models: An overview of
Inverse scaling can become U-shaped — AI Alignment Forum
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