I am developing a project where I give a transcript of a video to an LLM (I’m simply calling OpenAI’s APIs). The LLM generates a wide range of data such as summaries, named entities (NER), etc. I want to store all the data in a database. I’m considering using a relational database and perhaps I’ll need to pre-process the LLM-generated response to store in the tables (OR should I store the data as a JSON format?). Another option is a NoSQL database (eg. MongoDB) where I can dump the response as a document in collections. Can someone please guide me? What is the best practice for the production enviro..
Category : softwareengineering
I encountered the site ipfs-sec.stackexchange.cloudflare-ipfs.com and I clicked on the link that seems to be the questions I am looking for answers. At a first glance, I thought it is related to stackexchange.com but not sure if ..
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What are common architecture patterns/strategies of updating user data (think of XML/Json/sqlite/custom binary format) when the format of the data needs to be changed, and when that change would make reading old data (that is already stored on user’s machine) in..
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I’m developing an iOS app using SwiftUI and have a backend built with Django. The app includes a feature where users can request a One-Time Password (OTP) via SMS. Since this feature is available to unauthenticated users, I’m concerned about potential abuse, such as spamming the OTP request endpoint to send a large number of SMS mes..
Myself Working as a machine learning engineer+MLOps, very proficient with python, and some experience with C++, Rust, also did some Scala programming (mostly for big data and spark). Situation Joining a new company (hedge fund) as a data engineer, although the data team mostly uses Python, the trading and market connectivity team uses a java ..