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Ask HN: How did LLMs change your products?

14 pointsby scoresmokeover 1 year ago
Since the LLMs and other generative models had been around for a while, many companies claimed to build products on top of them or launch new AI features based on them.<p>What happened at your company? How did these features impact your users, your product, and your management?

4 comments

Paul-Craftover 1 year ago
I&#x27;m currently unemployed and looking for work, but I can say I have seen more than one job listing that mentions LLMs, and even one that specifically mentioned GPT-4 as part of the company&#x27;s tech stack. So, people definitely <i>are</i> integrating LLMs into their products.
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crazy_marksmanover 1 year ago
Made it easier to document code. You can send the function as context, and it will generate a well-formatted docstring that accomplishes 90% of the task!
wscp-devover 1 year ago
well... My company was aiming to do codegen to fix errors. We took quite some time to figure out what to do with AI in our product. When we finally implemented something, we found apis like gpt4 to be quite expensive, though GPT4 did work well for the task. We later turned towards llama2 and codellama, which worked decently but had a higher &quot;wrong output&quot; rate.<p>And then they laid off 60% of the workforce (We were only 30 people)... I am not sure LLMs are going to affect their outlook very positively in the long term.
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shortrounddev2over 1 year ago
Made it way easier to generate the hundreds of lines of boilerplate crap you have to write with typescript backends
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