@BenjDicken seems pretty biased to say python = slow, js = fast for interpreted languages. a fast python interpreter is fast. a fast js interpreter is fast. slow interpreters are slow.
The keyboard shortcut for "search" and "launch vs code editor in your browser, which loads for 30 seconds before interactive" are too damn close on @github#GitHub
I recommend everyone against using LangChain and this article explains well
It uses abstractions on top of abstractions and actually makes your code needlessly complicated
Just write API calls and add a vector database instead
https://t.co/7scFP6O17t
I know I am late in the project cycle for this, but I do have suggested edits for the team behind https://t.co/w4YH7FvOpo My overall comment is that the central claims in the original are lacking in empirical support.
@hwchase17 But why tho? If you move all the power out of langchain then what was the purpose of installing langchain? You have zero attack surface if you publish an empty package 🤔
@Kangwook_Lee Does the correctness of the labels actually matter? Work out of Meta from '22 seemed to show that the key goal of ICL is to shift the generation distribution towards the final task regardless of the actual values used. Curious how 2-mode plays with that (https://t.co/q2asLYLq96)
📢 The #LLM4Code program and accepted papers are available now at https://t.co/LyVNzNYHXK
Congratulations to the authors again! We look forward to meeting everyone at LLM4Code @ICSEconf! 🚀
@degourab@wandb Perhaps it was the lightning logger that wrapped wandb. If you send me a new API key that is "near the limit" I'd be happy to rerun the training run to see what happens.
@wandb just crashed by 48 hour experiment because my free trial account ran out of hours. I get it, you want me pay you, but maybe gracefully handle that error?