Issue #261
October 25, 2024
- 1. Mastering AI Agents: From Basics to Multi-Agent Systems [medium.com/@vinitgela]
- 2. Full Text Search on PDFs With Postgres [tselai.com]
- 3. Autoencoders: An Ultimate Guide for Data Scientists [towardsdatascience.com]
- 4. New in NotebookLM: Customizing your Audio Overviews and introducing NotebookLM Business [blog.google]
- 5. Torching the Modern-Day Library of Alexandria [theatlantic.com]
- 6. Google, Microsoft, and Perplexity Are Promoting Scientific Racism in Search Results [wired.com]
- 7. What are Diffusion Models? [lilianweng.github.io]
- • Using sequences of life-events to predict human lives (G. Savcisens, T. Eliassi-Rad, L. K. Hansen, L. H. Mortensen, L. Lilleholt, A. Rogers, I. Zettler, S. Lehmann)
- • What Matters in Transformers? Not All Attention is Needed (S. He, G. Sun, Z. Shen, A. Li)
- • LLMD: A Large Language Model for Interpreting Longitudinal Medical Records (R. Porter, A. Diehl, B. Pastel, J. H. Hinnefeld, L. Nerenberg, P. Maung, S. Kerbrat, G. Hanson, T. Astorino, S. J. Tarsa)
- • Dynamic models of gentrification (G. Mauro, N. Pedreschi, R. Lambiotte, L. Pappalardo)
- • Large Language Models in Finance: A Survey (Y. Li, S. Wang, H. Ding, H. Chen)
- • Autoregressive Large Language Models are Computationally Universal (D. Schuurmans, H. Dai, F. Zanini)
- • The Dynamics of Social Conventions in LLM populations: Spontaneous Emergence, Collective Biases and Tipping Points (A. F. Ashery, L. M. Aiello, A. Baronchelli)
Building Large Language Models (LLMs)
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