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_posts/2024-08-01-what-i-am-reading-q2-2024/what-i-am-reading-q2-2024.Rmd
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--- | ||
title: "What I am reading: Q2 2024" | ||
description: | | ||
Summer reading. | ||
author: | ||
- name: Alice Walsh | ||
url: {} | ||
date: 2024-08-01 | ||
output: | ||
distill::distill_article: | ||
self_contained: false | ||
--- | ||
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Here are articles or newsletters that have gone around in Q2 2024 that I have read or found interesting. I have had much less time for reading lately, but I would love some new recommendations! | ||
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See my previous post for more general newsletters that I follow. | ||
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### Single posts or articles that were interesting: | ||
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- [Musings on Building a Generative AI Product](https://www.linkedin.com/blog/engineering/generative-ai/musings-on-building-a-generative-ai-product) (LinkedIn) | ||
- [LAB-Bench: Measuring Capabilities of Language Models for Biology Research](https://www.futurehouse.org/articles/lab-bench-measuring-capabilities-of-language-models-for-biology-research) (FutureHouse) | ||
- [DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines](https://arxiv.org/abs/2310.03714) (preprint) | ||
- [Assessing the limits of zero-shot foundation models in single-cell biology](https://www.biorxiv.org/content/10.1101/2023.10.16.561085v1) (preprint) | ||
- [What are the best long form lectures on YT?](https://x.com/aarondfrancis/status/1801995990834065631?s=46&t=97ESfi2JgyhASUJpGab9wA) (X/twitter thread) | ||
- [AI models collapse when trained on recursively generated data](https://www.nature.com/articles/s41586-024-07566-y) | ||
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### sessionInfo {.appendix} | ||
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```{r} | ||
pander::pander(sessionInfo()) | ||
``` | ||
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