No_Dust_9578
No_Dust_9578 t1_jbmktmj wrote
How can you be working with vision models and not know hardware requirements?
No_Dust_9578 t1_jb2r3mw wrote
Colab became expensive since they introduced compute units. I was using pro+ and running code for 2-3 hours a day. They give you 500 units per month and a premium gpu that costs 13-15 units per hour. I’d rather get a 3070 and run all I want.
No_Dust_9578 t1_j8w6ttf wrote
Reply to comment by FreePenalties in [N] Google is increasing the price of every Colab Pro tier by 10X! Pro is 95 Euro and Pro+ is 433 Euro per month! Without notifying users! by FreePenalties
433 EUR for 500 compute units seems beyond excessive.
No_Dust_9578 t1_j8w59ny wrote
Reply to [N] Google is increasing the price of every Colab Pro tier by 10X! Pro is 95 Euro and Pro+ is 433 Euro per month! Without notifying users! by FreePenalties
This is horrible if true. Usually they announce such changes ahead of time. Seeing your post I rushed to check the current prices but I see no changes at least in the US. I wanna say this is some sort of error.
No_Dust_9578 t1_j8vw3cm wrote
Reply to comment by KarmaQueenOfficial in [D] Simple Questions Thread by AutoModerator
Intro to statistical learning 2nd edition is free and amazing resource.
No_Dust_9578 t1_j8vw117 wrote
Reply to comment by justundertheblack in [P] NLP Model for sentiment analysis by justundertheblack
Ah I see. In that case something like this should give you a good direction.
No_Dust_9578 t1_j8vv85i wrote
Few things. Don't make a model from scratch, use a pre-trained one. There are plenty on hugging face. Another thing, later on, if you have your own data, you can use it to fine tune those models to better suit your task. This is a general approach to ML applications where data isn't available or not enough. Side note, speaking from experience, those large sentiment models that are out there do have great performance but some of them have been trained with large sentiment datasets that have inconsistencies. For instance, once I had to validate manually the performance on my data and noticed that the pre-trained models predicted the following sentence as POSITIVE sentiment but to a human, this is not positive: "oh yay, I love cold food...". So be careful and setup some sanity checks. Don't fully assume the predictions are accurate.
No_Dust_9578 t1_j7st93o wrote
Try to publish an idea, suddenly everyone beats you to it and you catch up that way.
No_Dust_9578 t1_jbujxkt wrote
Reply to How to code a PPO neural network in java by SpigotNerd
Remind me 999999 years