now im wondering what other emojis are out there waiting to become unicorn startups…
@jxmnop
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Hugging Face: $4.5B Startup with Unconventional Name
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if you find yourself spending too much time deliberating what to name your company, just remember there's a $4.5 BILLION dollar startup with the name "Hugging Face"
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Logit Bias Limitations in AI Model APIs
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yes we thought about this (it’s a good idea!) but you can’t bc there’s a limit to the number of logit biases you can apply at once
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Performance impact quantization 16-bit versus 4-bit models
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what's the performance dropoff from 16 bits to 4?
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LLMs Excel at Code Generation and Statistical Analysis Tasks
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hahah this one is kind of a stretch but i've tried telling it what i'm working on and asking for advice. usually it generates jargon in the right area that doesn't make any sense. but it's really good for making figures, running t-tests, writing evaluation code, etc.
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Low-hanging fruit in emerging AI concepts and applications
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yeah so much low-hanging fruit when concepts are only months old! and so much opportunity to re-apply old ideas to new scenarios
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PhD Research Transformed: AI Tools Accelerate Modern Academic Progress
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back in the day, a grad student would check out a stack of books, disappear for 6 years, hope to emerge with a thesis these days i'm reading new papers daily, i'm chatting w chatGPT for ideas, i'm coding with copilot, i'm tweeting can't imagine a better time to be a phd student
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Using Smaller Language Models to Optimize API Token Selection
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yeah this is definitely true! one idea would be to use a smaller language model to estimate the most probable tokens and then choose a certain subset of them to query the API with
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OpenAI Tokenizer: Understanding Token-Logprob Key-Value Pairs
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not sure what your first question means, but in this case we rely on knowing the tokens of the tokenizer; openAI gives us back key-value pairs of token-logprob