My intuition is two things:
1. Carefully curated pre-training data & finding the right data mix 2. Domain/ task specific evals for downstream use-cases In the end training data is still king! – finding which combination to go for is where the real moneys at. In addition- Post
DATA
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Training Data Mix and Domain-Specific Evals Drive AI Model Performance
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Data Science Learning Path: Mathematics and ML Bootcamp Courses
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For All who want to get Into Data Science
Mathematics-Basics to Advanced for Data Science And GenAI : https://
udemy.com/course/mathema
tics-basics-to-advanced-for-data-science-and-ml/?couponCode=HAPPYDIWALI
… Complete Data Science,Machine Learning,DL,NLP Bootcamp: https://
udemy.com/course/complet
e-machine-learning-nlp-bootcamp-mlops-deployment/?couponCode=HAPPYDIWALI
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Alteryx Marketplace Celebrates One Year Success Milestone
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The Alteryx Marketplace just turned one: Over 52K downloads, 82K visitors, and 45 tools and connectors! Explore our blog to see the highlights, celebrate the #MaveryxCommunity and our partners, and explore what’s next! Read: https://
ow.ly/haZz50TS8Bv #Maveryx -
The Batch: Five AI Fears Explored This Halloween
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Happy Halloween! On this spooky day, The Batch continues its annual tradition of exploring fears related to AI. This special edition has 5 articles: * AI Burns All the Energy * Innovation Dies
* No Work for Coders
* Benchmarks Are Meaningless
* Synthetic Data Distorts -
OpenAI Uses o1 Synthetic Data for Model Training
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First time OpenAI officially says they are using synthetic data from o1 to train their models. SearchGPT was trainier by o1. Makes you think how GPT-5 was trained 😉
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Data Science as Evidence Against Incompetence and Corruption
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If you walk into Court and list points (a) to (d) above, likely you'll hear: "I'm listening…" So what would move beyond anecdotes? You need evidence that's less subjective more objective, less general more specific. Maybe #DataScience helps prove incompetence, even corruption?
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Scraping Permissive Data for Better AI Training
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Agreed! Time to scrape permissive and better data
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COAT Framework: Empowering Business Users Data Trust Analytics
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What is COAT? And why is it important for data trust? Join #AlteryxVirtualSummit to find out from Susan Walsh, the @ClassificationG
. She’ll join a panel of analytics experts on empowering all business users. Register: https://
ow.ly/Ofby50TIpEB #AnalyticsAutomation -
Genetic Research Advances from Broad Institute and MIT Collaboration
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Authors: @manoliskellis & @yk_tani Related thread: https://
x.com/yk_tani/status
/1848750077679997268
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Additional credits: @broadinstitute
, @MITEECS
, @uk_biobank
, @AJHGNews
, & @GeneticsSociety -
MIT Hypometric Genetics Unlocks Hidden Measurement Data
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In scientific research, measurements that are too small to be quantified are usually labeled as "below the limit of quantification" & discarded. MIT CSAIL researchers recently developed the "hypometric genetics" approach, which uses these typically disregarded measurements to