Issue #257
September 25, 2024
- 1. The Pragmatic Programmer for Machine Learning [ppml.dev]
- 2. Andrey Markov & Claude Shannon Counted Letters to Build the First Language-Generation Models [spectrum.ieee.org]
- 3. How ‘Embeddings’ Encode What Words Mean — Sort Of [quantamagazine.org]
- 4. Python in Excel – Available Now [techcommunity.microsoft.com]
- 5. 25 Amazing Python Tricks That Will Instantly Improve Your Code [medium.com/pythoneers]
- 6. ICML 2024 Top Papers : What’s New in Machine Learning? [blog.cubed.run]
- 7. The Math Behind Kernel Density Estimation [towardsdatascience.com]
- • Complexity and entropy of natural patterns (H. Wang, C. Song, P. Gao)
- • Replay shapes abstract cognitive maps for efficient social navigation (J.-Y. Son, M.-L. Vives, A. Bhandari, O. FeldmanHall)
- • Durably reducing conspiracy beliefs through dialogues with AI (T. H. Costello, G. Pennycook, D. G. Rand)
- • Training Language Models to Self-Correct via Reinforcement Learning (A. Kumar, V. Zhuang, R. Agarwal, Y. Su, J. D. Co-Reyes, A. Singh, K. Baumli, S. Iqbal, C. Bishop, R. Roelofs, L. M. Zhang, K. McKinney, D. Shrivastava, C. Paduraru, G. Tucker, D. Precup, F. Behbahani, A. Faust)
- • Schrodinger's Memory: Large Language Models (W. Wang, Q. Li)
- • A Primer on the Inner Workings of Transformer-based Language Models (J. Ferrando, G. Sarti, A. Bisazza, M. R. Costa-jussà)
- • Chain of Thought Empowers Transformers to Solve Inherently Serial Problems (Z. Li, H. Liu, D. Zhou, T. Ma)
How to Read Deep Learning Papers as a Software Engineer
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