Engineer Readings – Telegram
[llm]
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks

While LLMs have shown great success in understanding and generating text in traditional conversational settings, their potential for performing ill-defined complex tasks is largely under-studied. Indeed, we are yet to conduct comprehensive benchmarking studies with multiple LLMs that are exclusively focused on a complex task. However, conducting such benchmarking studies is challenging because of the large variations in LLMs' performance when different prompt types/styles are used and different degrees of detail are provided in the prompts. To address this issue, the paper proposes a general taxonomy that can be used to design prompts with specific properties in order to perform a wide range of complex tasks.”

https://arxiv.org/abs/2305.11430
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[architecture][uber clone]

Juraj Majerik dedicated about 7 months (a total of ~300 hours) to create a simulated version of a ride-sharing app (akin to Uber) as a side project. He described each step in his blog:

https://rides.jurajmajerik.com/system-design
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[lectures][data science]

CS109A Data Science course materials @Harvard are free and open to everyone!

1. Lecture notes
2. R code, Python notebooks
3. Lab material
4. Advanced sections

https://harvard-iacs.github.io/2019-CS109A/pages/materials.html
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[distributed systems]

https://jepsen.io/consistency
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[ai][art]
Refik Anadol’s data paintings and sculptures translate the logic of new media technology into spatial design to create immersive experiences based on vast datasets of nature, history, human activity, and art history.

https://www.nvidia.com/en-us/research/ai-art-gallery/artists/refik-anadol/
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