Experts tell me that self-driving vehicles are still in their infancy
MACHINE LEARNING
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GPU Demand Surge Expected as Generative AI Applications Emerge
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What does 2023 have in store for AI? Our CEO Nick Elprin predicts GPU demand will soar as more deep learning apps emerge to cure disease. @NVIDIAAI
's Manuvir Das concurs that new generative AI realities will do the same. @VentureBeat has the full takes: https://
domino.buzz/3ZpKgco -
Recursive Text Splitter for Improved Chunk Processing
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Recursive Text Splitter The previous text splitter only split on a single character This one recursively splits chunks on different types of characters, until all chunks are below the desired size
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Future of ML: Automation of Repetitive Tasks, Focus on Creativity
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The future of machine learning for companies out there will be much more about creativity and less about repetitive work. Wrangling data, algorithms, and operationalizing models will be fully automated. At @abacusai we've made a lot of progress in that direction!
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Linear Regression with TensorFlow and Keras Tutorial
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Learn Linear Regression using TensorFlow and Keras!
— Satya Mallick (@LearnOpenCV) 9 janvier 2023
We show how Keras can be used to model & train the network, learn the parameters of the linear model, & how to visualize the model predictions.
Find the full video here: https://t.co/qFEy2Mp4sJ #keras #python #ai pic.twitter.com/haRMe8BjwjLearn Linear Regression using TensorFlow and Keras!
We show how Keras can be used to model & train the network, learn the parameters of the linear model, & how to visualize the model predictions.
Find the full video here: https://
youtube.com/watch?v=yi6Hrr
AbYEM
… #keras #python #ai -
Thorough Mitigation for Prompt Injection in AI Systems
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It’s premature to call prompt injection solved, but this is the most thorough mitigation I’ve seen yet.
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AI Generates Protein Blueprints Using Generative Art Techniques
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“What can machines do that humans can’t do at all?” Using the techniques that underpin A.I. art generators like DALL-E, scientists are generating blueprints for new proteins — tiny biological mechanisms that can change the way of our bodies behave:
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Data Volume and Mining Drive Commercial AI Insights
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The driving forces in this brave new world are access to ever-increasing volumes of data and our ever-increasing technological capability to mine that data for commercial insights
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Differential Privacy Results Beyond Pure DP Guarantees
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Everything above is for pure (ε, 0)-DP. We also have results for (ε, δ)-DP. Also, the conversion from robustness to privacy is not always optimal, we have an example for sparse mean estimation. 11/n
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Robust Gaussian Estimation: Novel Techniques in Statistical Learning
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Finally, see simultaneous work of Alabi, @praveshkkothari
, Tankala, Venkat, Zhang, which also studies private & robust Gaussian estimation from a robust stats perspective. Totally different techniques! https://
arxiv.org/abs/2212.08018 Again, our paper link: https://
arxiv.org/abs/2212.05015 12/12