Besides the fact Im getting older, some reasons last year was more tiring:
– security papers are long! 13 two-column pages (vs 8 in ML)
– also, their revision process requires more commitment from reviewers
– more generally, labour expected from reviewers per paper is on the rise
RESEARCH
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Security Paper Review Process Demands Increased Burden Reviewers
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NLP and Quantum Computing Drive Financial Innovation
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#NLP & #quantum computing could drive years of new financial innovation, says @NVIDIAAI
's Mark J. Bennet. Could 2023 be the first year for you? Find out how in the Finance and Insurance #DataScience Innovator's Playbook https://
domino.buzz/3X8GNgH #MLOps -
Chinchilla’s implications: Dataset size over model size in LLMs
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Great post (5mo ago) "chinchilla's wild implications" giving context to LLM goldrush shifting from model size to dataset size following Chinchilla https://
lesswrong.com/posts/6Fpvch8R
R29qLEWNH/chinchilla-s-wild-implications
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Subtle important detail: analysis assumes 1 epoch. Recent work (e.g. Galactica) gives hope for 1+ regime. -
Subtle AI Watermarking in Inter-Token Frequency Distributions
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The watermark Aaronson proposed is much more subtle than that, and isn't detectable within a text editor. The watermark exists only in the inter-token frequency distributions, and can't be checked without complicated code.
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OpenAI founding anniversary: seven years milestone
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the first day of openai, seven years ago today
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Tracing GPT-3.5’s Emergent Abilities to Their Sources
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GPT-3.5 is technically all of the following, but I meant it as just the first three:
– code-davinci-002
– text-davinci-002
– text-davinci-003
– ChatGPT See here: https://
yaofu.notion.site/How-does-GPT-O
btain-its-Ability-Tracing-Emergent-Abilities-of-Language-Models-to-their-Sources-b9a57ac0fcf74f30a1ab9e3e36fa1dc1
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Language Models and Mathematical Accuracy: Parameters vs Hard Numbers
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Parameters are great. Absolutely agree. For hard numbers, though, the language model doesn't do math in the way you'd expect. Often it'll be off on those, but they will get it closer to the goal you're seeking.
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Tech Partnerships Drive Innovation Across Business and Sustainability
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Trends 2023! My #POV @BBNTimes_en on #ecosystem #partnerships to catalyze #innovation benefiting #business & #planet exemplified by @IBMPartners portfolio expansion: It's #tech #Finance #skills #SDGs & more! http://
bit.ly/InnovateEcosys
tem
… #Digital #IBMPartner #AI @IBM #DataScience -
Celebrating 13k followers: ML, NLP and GPT-3 explained
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Celebrating 13k followers Thank you for the overwhelming love and support I simplify Machine Learning, NLP, and Large Language Models like GPT-3 for you! Follow me → @Saboo_Shubham_
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Misinformation impact on reputation and public understanding
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Y no es "tan grave", porque al final el usuario final que quiera saber bien cómo funciona esto sabrá elegir sus fuentes. Y el que no, aunque se le exponga a desinformación, ni la retendrá ni tampoco le generará un mayor perjuicio. Pero a la reputación del que divulga mal…