Evolution of Data Science: Skillset, Toolset, and Mindset. #DataScience #bigdata #analytics #AI #ArtificialIntelligence #ML #MachineLearning #Data #IoT #100DaysOfCode #DataScientists #Coding #deeplearning #tech #Python #100DaysOfMLCode https://
bit.ly/3mNYHrZ
EDUCATION
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Evolution of Data Science: Skillset, Toolset, and Mindset
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Rethinking Training Paradigm for AI Era Workforce
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[QUESTIONNER]
Il faut changer le paradigme de la formation par @RaphaelChenol https://
flashtweet.fr/2023/03/17/il-
faut-changer-le-paradigme-de-la-formation/
… #FutureofWork : sommes-nous prêt pour le travail à l’ère des #IA ? #Formation #intelligenceartificielle #Digital #FlashTweet -
Building the Next Generation of AI Talent
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How to build the next generation of #AI talent
by @JoeWehbe7 @wef Read more: https://
buff.ly/3bWxluA #ArtificialIntelligence #MI #DeepLearning #MachineLearning #DL #Tech cc: @richardsocher @ogrisel @bigdata -
PhD Students and Academia Have Abundant Research Opportunities
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There are still tons of stuff that PhD students and academia can work on!
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GPT-4 Generated MathCounts Questions Contain Errors
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My initial GPT-4 enthusiasm has soured slightly. I asked it to generate 10 sample questions for MathCounts exam for my son. The questions appear to be reasonable, but many answers were wrong. Here are two examples. My commentary is in square brackets. =========
Problem 1: A -
Building the Next Generation of AI Talent
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How to build the next generation of #AI talent
by @JoeWehbe7 @wef Learn more: https://
buff.ly/3bWxluA #ArtificialIntelligence #MI #Digital #DataScience #Robotics #5G #DeepLearning #DL #Industry40 cc: @ronald_vanloon @bigdata @ravikikan -
Emiel Hoogeboom Successfully Defends PhD Thesis
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Congratulations to the brilliant Emiel Hoogeboom for successfully defending his PhD thesis. And thanks to committee for some great questions!
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GPT-3.5-Turbo Praised for Academic Research with 10x Price Reduction
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I also think gpt-3.5-turbo is great for academic research, with a 10x reduction in price
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Language Models: New HCI Paradigm and Practical Applications
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3. How people use language models. Interaction and collaboration with language models will be a new direction similar to HCI, and I’m super excited about application of language models for use cases such as foreign-language learning, training therapists, etc.
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PhD Research Directions in the Era of Large Language Models
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I’m hearing chatter of PhD students not knowing what to work on.
My take: as LLMs are deployed IRL, the importance of studying how to use them will increase.
Some good directions IMO (no training):
1. prompting
2. evals
3. LM interfaces
4. safety
5. understanding LMs
6. emergence