Issue #245

May 23, 2024

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1. 1. Strangely Curved Shapes Break 50-Year-Old Geometry Conjecture [quantamagazine.org]
2. 2. Mapping the Mind of a Large Language Model [anthropic.com]
3. 3. Fast Tokenizers with StringScanner [tenderlovemaking.com]
4. 4. A Survey of Causal Inference Applications at Netflix [netflixtechblog.com]
5. 5. llama3 implemented from scratch [github.com/naklecha]
6. 6. The Fundamentals of Modern Deep Learning with PyTorch [github.com/rasbt]
7. 7. Hypothesis Testing Explained [towardsdatascience.com]

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• • Testing theory of mind in large language models and humans (J. W. A. Strachan, D. Albergo, G. Borghini, O. Pansardi, E. Scaliti, S. Gupta, K. Saxena, A. Rufo, S. Panzeri, G. Manzi, M. S. A. Graziano, C. Becchio)
• • Challenges of COVID-19 Case Forecasting in the US, 2020–2021 (V. K. Lopez , E. Y. Cramer, R. Pagano, J. M. Drake, E. B. O’Dea, M. Adee, T. Ayer, J. Chhatwal, O. O. Dalgic, M. A. Ladd, et al)
• • Sparks of Artificial General Intelligence: Early experiments with GPT-4 (S. Bubeck, V. Chandrasekaran, R. Eldan, J. Gehrke, E. Horvitz, E. Kamar, P. Lee, Y. T. Lee, Y. Li, S. Lundberg, H. Nori, H. Palangi, M. T. Ribeiro, Y. Zhang)
• • Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey (X. Fang, W. Xu, F. A. Tan, J. Zhang, Z. Hu, Y. Qi, S. Nickleach, D. Socolinsky, S. Sengamedu, C. Faloutsos)
• • Emergent Abilities of Large Language Models (J. Wei, Y. Tay, R. Bommasani, C. Raffel, B. Zoph, S. Borgeaud, D. Yogatama, M. Bosma, D. Zhou, D. Metzler, E. H. Chi, T. Hashimoto, O. Vinyals, P. Liang, J. Dean, W. Fedus)
• • Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models (D. W. Apley, J. Zhu)
• • Comprehensive Causal Machine Learning (M. Lechner, J. Mareckova)

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Kolmogorov-Arnold Networks VS Regular Deep Learning

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