What can and can't language models do? Lessons learned from BIGBench
Por um escritor misterioso
Last updated 26 fevereiro 2025
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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
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Specialized LLMs: ChatGPT, LaMDA, Galactica, Codex, Sparrow, and More
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Google's new 540 billion parameter language model — LessWrong
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Google's new 540 billion parameter language model — LessWrong
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Benchmark of LLMs (Part 1): Glue & SuperGLUE, Adversarial NLI, Big
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MPT-7B and The Beginning of Context=Infinity — with Jonathan
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When training AI, we should escalate the frequency capability tests
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