In general, it can’t count the length of words reliably with naive prompting. This is a well known issue.
LLMS
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Exposing ChatGPT Temperature Setting for Prompt Engineers
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they just need to expose the temperature setting on chatgpt and prompt engs can go to town
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LangChain 0.0.29 Release with APIChain and Poetry Updates
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Lots of activity over the weekend! LangChain version 0.0.29: https://
github.com/hwchase17/lang
chain
… APIChain by @subby_tech Improve example by @scottleibrand Start using poetry package manager by `shoelsch` See here for more on APIChain: -
Baidu releases 11 new ERNIE models across general and industry sectors
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The newly released 11 models are added to the Big Model ERNIE family:
– 5 general models: ERNIE 3.0 Tiny, ERNIE ViL 2.0, ERNIE ViLG 2.0, ERNIE-Layout, HelixFold-Single
– 1 task model: ERNIE-Code
– 5 industry models created by Baidu & Shenzhen Gas, Geely, Taikang, TCL, and Cihai -

Baidu Releases 11 New AI Models at Wave Summit
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At Wave Summit+ last week, Baidu released a wave of new AI technologies to drive AI adoption and further lower the threshold.
– 11 new AI Big Models – PaddlePaddle 2.4
– New features of AI-generated art platform
– A neural search system
Read more: http://
research.baidu.com/Blog/index-vie
w?id=174
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ChatGPT removes similar strings, suggesting hidden control codes
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The fact that ChatGPT removes not just this string, but any string formatted similarly, suggests there exist other control codes by ChatGPT, e.g. to mark the boundaries between user input and prior model output within the prompt context.
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The string ” represents end of generation in GPT-3 tokenizer
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The string “” is handled specially by GPT-3’s tokenizer to represent the end of a generation. Whenever this token is emitted, the model stops talking immediately:
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ChatGPT silently removes empty quote substrings from input
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A demonstration that ChatGPT silently removes from user input all substrings of form “” where “foobar” is any single word without whitespace:
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Tokenization issue in counting letters of word ‘elementary’
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Yes. The correct response to: How many letters are in “elementary”? …really should be: Due to tokenization issues you can read about [here], I need to count these letters one at a time: e1-l2-e3-m4-e5-n6-t7-a8-r9-y10. Thus we see ‘elementary’ has 10 letters.
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Simulating Reality: LLMs and the Simulation Hypothesis Question
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The reason that emulating virtual machines, chatrooms, and APIs inside large language models is exciting, isn’t just because “haha cool nerd stuff”. It means we are that much closer to simulating all of our world in it. And if we can do it… how would we know we aren’t in one?