Issue #212
August 2, 2023
- 1. How Renaissance beat the markets with Machine Learning [towardsdatascience.com]
- 2. Computer Scientists Discover Limits of Major Research Algorithm [quantamagazine.org]
- 3. BERT Research - Ep. 1 - Key Concepts & Sources [mccormickml.com]
- 4. Large language models, explained with a minimum of math and jargon [understandingai.org]
- 5. System Design for Recommendations and Search [eugeneyan.com]
- 6. LLMs Unleashed: The Power of Fine-Tuning [lucaspauker.com]
- 7. Patterns for Building LLM-based Systems & Products [eugeneyan.com]
- • Large language models encode clinical knowledge (K. Singhal, S. Azizi, T. Tu, S. S. Mahdavi, J. Wei, H. W. Chung, N. Scales, A. Tanwani, H. Cole-Lewis, S. Pfohl, P. Payne, M. Seneviratne, P. Gamble, C. Kelly, A. Babiker et al)
- • A Room-Temperature Superconductor? New Developments (D. Lowe)
- • Estimating the impact of COVID-19 vaccine inequities: a modeling study (N. Gozzi, M. Chinazzi, N. E. Dean, I. M. Longini Jr, M. E. Halloran, N. Perra, A. Vespignani)
- • Empowerment contributes to exploration behaviour in a creative video game (F. Brändle, L. J. Stocks, J. B. Tenenbaum, S. J. Gershman, E. Schulz)
- • Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models (B. Zhang, H. Yang, X.-Y. Liu)
- • Subnetwork enumeration algorithms for multilayer networks (T. Nurmi, M. Kivelä)
- • Exploring the Bitcoin Mesoscale (N. Vallarano, T. Squartini, C. J. Tessone)
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