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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