![]() Try/catch is ok to catch a programming error or buggy code, for example from libraries you don't know might be buggy. For example, you attempt to load a config file, catch the error and just proceed with the rest of the code in your function with defaults if the config file is not present. 1 Answer Sorted by: 8 If your encryption/decryption calls are synchronous (depends on the library, module, function you use), try/catch is ok to use it, otherwise depending on how you've used it, it might be useless. You want to "handle" an error locally and continue processing down a different code path that is not just an immediate error return. You want to create a custom error (that is different for each async operation) that you will actually use in the final result of the function. Some reasons for needing the inner catch are: All your await statements will just go directly to your outer catch if they reject in my code above which all you were doing anyway with all your inner catch statements so they were redundant. It's OK (not an anti-pattern when it achieves a specific goal), but in this case it is not necessary because all your inner catch() blocks all do the same thing and are all just caught by your outer catch block so you can just keep the outer catch and get rid of all the inner ones. ![]() The reason is that the node-postgres throws errors but I want to return all errors to a custom error handler, so I catch those errors first and then throw them again in my CustomError handler. To return a (good) response in the try block and releasing the clientĢ) Is it OK (or is it anti-pattern) to nest multiple try catch blocks. Online I read that the 'finally' block is ALWAYS executed, so is it OK ![]() When everything is OK, I return the response in the 'try' block. Return next(new CustomHandleError(400, 'something_went_wrong'))ġ) In my 'finally' block, I release the client back to the pool. My code now looks like this: const controller = async (req, res, next) => ) I'm implementing transactions using node-postgres. Let me know online what you're building with fine-tuned OpenAI models.I'm refactoring my nodejs code. fine-tune a model in another programming language.use all the other Completions parameters like temperature, frequency_penalty, presence_penalty, etc., on your requests to fine-tuned models.try fine-tuning a different model other than davinci.add more data to improve completions and make the model production-ready.That's how to customize one of OpenAI's existing models to fit your own specific use case and data! What's Next for Fine-tuning OpenAI models? Then, rerun node finetune.js and you should see your new custom model deployed in action making a new completion according to the prompt you passed in!Īlternatively, you can test out your fine-tuned model in the OpenAI Playground.Ĭomplete code can be found here on GitHub. Replace YOUR-FINETUNED-MODEL-NAME with the model name from the previous step. ![]() To get started, create a new Node.js project in an empty directory: You can get an OpenAI API Key here by clicking on + Create new secret key.
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