arkmm
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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…
- Tesla FSD (Supervised) in Manhattan [video] (youtube.com)
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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…
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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…
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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…
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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…
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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…