Issue #246
May 29, 2024
- 1. What We Learned from a Year of Building with LLMs (Part I) [oreilly.com]
- 2. An Introduction to Reinforcement Learning [towardsdatascience.com]
- 3. Computer Scientists Invent an Efficient New Way to Count [quantamagazine.org]
- 4. Big Data Is Dead [motherduck.com]
- 5. Welcome to Microsoft Phi-3 Cookbook [github.com/microsoft]
- 6. Diffusion Models [andrewkchan.dev]
- 7. Hypothesis Testing Explained [towardsdatascience.com]
- 8. These crows may count in a way similar to human toddlers [science.org]
- • Novel embeddings improve the prediction of risk perception (Z. Hussain, R. Mata, D. U. Wulff)
- • Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet (A. Templeton, T. Conerly, J. Marcus, J. Lindsey, T. Bricken, B. Chen, A. Pearce, C. Citro, E. Ameisen, A. Jones, H. Cunningham, N. L. Turner, C. McDougall, M. MacDiarmid, A. Tamkin, E. Durmus, T. Hume, F. Mosconi, C. D. Freeman, T. R. Sumers, E. Rees, J. Batson, A. Jermyn, S. Carter, C. Olah, T. Henighan)
- • Link Prediction in Complex Networks Using Average Centrality-Based Similarity Score (Y. V. Nandini, T. J. Lakshmi, M. K. Enduri, H. Sharma)
- • A generative model for community types in directed networks (C. X. Liu, T. J. Alexander, E. G. Altmann)
- • Is artificial consciousness achievable? Lessons from the human brain (M. Farisco, K. Evers, J.-P. Changeux)
- • Thermodynamic Natural Gradient Descent (K. Donatella, S. Duffield, M. Aifer, D. Melanson, G. Crooks, P. J. Coles)
- • AnyLoss: Transforming Classification Metrics into Loss Functions (D. Han, N. Moniz, N. V. Chawla)
Mapping GPT revealed something strange...
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