What can and can't language models do? Lessons learned from BIGBench
Por um escritor misterioso
Last updated 30 março 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

Hidden abilities of large language models: Is emergence the norm?

BIG-Bench: The New Benchmark for Language Models

A New AI Trend: Chinchilla (70B) Greatly Outperforms GPT-3 (175B
Sebastian Raschka, PhD on LinkedIn: In the new Language Models

Large language model - Wikipedia
GitHub - uncbiag/Awesome-Foundation-Models: A curated list of

A Big Year For AI - Ahead of AI #4

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

What can and can't language models do? Lessons learned from BIGBench
Extrapolating GPT-N performance — AI Alignment Forum
When training AI, we should escalate the frequency of capability
First-principles on AI scaling

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

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