siri what are the limits of training the model on public datasets
RESEARCH
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CPMAI Application in Real World: Interview with Andre Barcaui
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In this @Cognilytica #AIToday #podcast 'Applying CPMAI in the real world, Interview with Andre Barcaui, CPMAI' hosts @rschmelzer & @kath0134 interview @andrebarcaui
, Professor at @FGV & ask how #CPMAI is helping him better run #aiprojects! Full episode: https://
cognilytica.com/2022/11/30/ai-
today-podcast-applying-cpmai-in-the-real-world-interview-with-andre-barcaui-cpmai/?utm_source=dlvr.it&utm_medium=twitter
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ChatGPT’s Templating: Separating Model Output from Rule-Based Systems
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There are some clear indications of (good quality) templating in the answers of ChatGPT Would be super interesting to know what part is from the model and what part is some rule-based templated stuff on top of the model (like the added diversity words in DALL-E prompts)
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Moving Goalposts: AI Progress and Shifting Expectations
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ChatGPT is amazing, but the complaints are even more amazing. Every time AI advances, we move goalposts, exhibit 342:
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Qubit Pharma Accelerates Drug Discovery with NVIDIA
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@qubit_pharma relies on @NVIDIA and hybrid quantum computing to accelerate drug discovery https://actuia.com/actualite/qubit-pharmaceuticals-sappuie-sur-nvidia-et-linformatique-quantique-hybride-pour-accelerer-la-decouverte-de-medicaments/
… #AI #artificialintelligence #drugdiscovery #research #HPC -
Top 10 Data Science Myths Debunked and Explained
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Top 10 #DataScience Myths Busted
New article https://
bit.ly/3sZDR8T
Via @ingliguori #MachineLearning #Python #SQL #BigData #Analytics #AI #RStats #TensorFlow #JavaScript #CloudComputing #deeplearning #DataScientist #Linux #Programming #Coding #100DaysofCode #NLP #GitHub -
Graphcore and Aleph Alpha Present 80% Sparse AI Model
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@graphcoreai and @Aleph__Alpha present an 80% sparse AI model https://actuia.com/actualite/graphcore-et-aleph-alpha-presentent-un-modele-dia-clairseme-a-80/
… #AI #artificialintelligence #collaboration #chatbot -
Difficulty Distinguishing Misinformation Studies from Misinformation
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It’s getting harder and harder to tell misinformation studies from misinformation.
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Difficulty Distinguishing Misinformation Studies From Misinformation
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It’s getting harder and harder to tell misinformation studies from misinformation.
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Gradient Descent and Graduate Student Descent in Deep Learning
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The inner loop of deep learning is gradient descent. The outer loop is graduate student descent.