What can and can't language models do? Lessons learned from BIGBench
Por um escritor misterioso
Last updated 03 janeiro 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
When training AI, we should escalate the frequency of capability
Language Models Perform Reasoning via Chain of Thought – Google
Generative AI AI Perspectives
Large language models encode clinical knowledge
Dual Process Theory for Large Language Models: An overview of
What can and can't language models do? Lessons learned from BIGBench
Inverse scaling can become U-shaped — AI Alignment Forum
The Flan Collection: Advancing open source methods for instruction
Using cognitive psychology to understand GPT-3
What can and can't language models do? Lessons learned from BIGBench
Emergent Abilities in AI: Are We Chasing a Myth?
Google's new 540 billion parameter language model — LessWrong
Ethan Dyer - “Lessons from scale for large language models and
PaLM 2 And 19 Other AI Tools For Large Language Models
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