arkmm

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  1. Because of the coordination across multiple systems + chaining LLM calls, a lot of agents today can feel really slow. I would love to know how others are tackling this: - How are you all identifying performance…

  2. Are any of you maintaining any web scrapers in production? I've done some for side projects, automated testing, and personal scripts (checking personal bank balances, getting a Global Entry interview slot, etc.), but it…

  3. Apart from playing around with these models to test their capabilities, how are people using them - either for personal use or in production settings? EDIT: Specifically interested in how people are using the reasoning…

  4. With all the excitement around LLMs, are people still labeling data manually for NLP tasks? Or has this been largely replaced with prompting, few-shot models, and/or LLM-based labeling? Would be curious to hear what…

  5. Prototyping an application with an LLM is pretty straightforward task these days: try out a few prompts and paste in some context and see if it seems to work. After trying to build something more substantial (a script…

  6. I frequently switch between a laptop or a desktop while working on code - mostly just because I enjoy changing the scenery from my desk occasionally. My current cobbled-together approach is to have a git repo inside a…