What can and can't language models do? Lessons learned from BIGBench
Por um escritor misterioso
Last updated 23 abril 2025

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

Language Models Don't Always Say What They Think: Unfaithful
A Survey of Large Language Models

A New AI Trend: Chinchilla (70B) Greatly Outperforms GPT-3 (175B

The Flan Collection: Advancing open source methods for instruction

When training AI, we should escalate the frequency capability tests

Language Models Perform Reasoning via Chain of Thought – Google

Extrapolating to Unnatural Language Processing with GPT-3's In

Train foundation model for domain-specific language model

R] 85% of the variance in language model performance is explained

New Benchmarks Test the Limits of Large Language Models

Large language model - Wikipedia
Sebastian Raschka, PhD on LinkedIn: In the new Language Models

What can and can't language models do? Lessons learned from BIGBench

MPT-7B and The Beginning of Context=Infinity — with Jonathan
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