Issue #225
November 24, 2023
- 1. Q-learning [wikipedia.org]
- 2. How to Stop Taking Work So Personally [hbr.org]
- 3. Cryptographers Solve Decades-Old Privacy Problem [nautil.us]
- 4. Scientists combine climate models for more accurate projections [phys.org]
- 5. Incremental Processing using Netflix Maestro and Apache Iceberg [netflixtechblog.com]
- 6. Knowledge Graph Transformers: Architecting Dynamic Reasoning for Evolving Knowledge [towardsdatascience.com]
- 7. Generative AI for Beginners - A Course [microsoft.github.io]
- • Covid-19 vaccine effectiveness against post-covid-19 condition among 589 722 individuals in Sweden: population based cohort study (L. Lundberg-Morris, S. Leach, Y. Xu, J. Martikainen, A. Santosa, M. Gisslén, H. Li, F. Nyberg, M. Bygdell)
- • Network homophily via tail inequalities (N. Apollonio, P. G. Franciosa, D. Santoni)
- • Using a Bayesian approach to reconstruct graph statistics after edge sampling (N. A. Arnold, R. J. Mondragón, R. G. Clegg)
- • LLMs cannot find reasoning errors, but can correct them! (G. Tyen, H. Mansoor, P. Chen, T. Mak, V Cărbune)
- • The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4 (Microsoft Research AI4Science, Microsoft Azure Quantum)
- • In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering (S. Liu, L. Xing, J. Zou)
- • The social costs of tropical cyclones (H. Krichene, T. Vogt, F. Piontek, T. Geiger, C. Schötz, C. Otto)
Intro to Large Language Models
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