I use ChatGPT to ask questions about my code - including rust lifetimes - and usually get pretty good detailed answers. More recently I started using diesel ORM and was pleasantly surprised that the bot can answer questions about diesel usage.
HN user
perfopt
I am still rocking a 2012 MBP. I even have a PPC MacMini but it now runs Linux. I have no idea who is upgrading from a M1/M2 to M3 or why they would
I learnt Swift several years ago for a App project Haven't really used it since.
My impression is that it is useful only in the Apple ecosystem. It that correct? Is it worth learning for things other than iOS and macOS applications?
This is exactly why banks are unhappy - they have to bear the infra cost. This is also the reason the government is trying to push UPI wallet. I suspect at some future point UPI (non-wallet) transactions will be charged a small fee and wallet transactions will not.
I have not seen a single eatery that does not accept cash.
Booking bus tickets - RedBus and other portals accept credit cards. To use cash one must book at the terminal.
Could you share how you set up the cloud backup? Also, what cloud providers you use
Perhaps showing the synthesized gates and how say a structural version of the code will synthesize would explain in more detail
India had a scorching summer and now heavy rains in many parts of the country. The government is just being prudent and ensuring sufficient local stock.
The iPhone wowed everyone but its price was heavily criticized. Apple later got into the exclusive AT&T deal which "subsidized" the price. People just ended up paying more over time.
Martin Meyerson Berkeley Faculty Research Lecture: Jitendra Malik
Hmm...how do we know he is not a Transformer?
Ubuntu 22.04.1 LTS. I'll file a issue
I keep seeing this even when the prompt is unchanged
Downloading https://huggingface.co/runwayml/stable-diffusion-v1-5/resolv... from huggingface Loading model /home/hrishi/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf/v1-5-pruned-emaonly.ckpt onto cuda backend...
followed by a download
OK. I noticed that the images are not accurate when I give my own descriptions. Not sure if this is a limitation of Stable Diffusion. For example, for the text "cat and mouse samurai fight in a forest, watched by a porcupine" I got a cat and a mouse (with a cat's face and tail!!) in a forest sort of fighting. But no - porcupine
Thank you for creating this.
How does this work? When I run it on a machine with a GPU (pytorch, CUDA etc installed) I still see it downloading files for each prompt. Is the image being generated on the cloud somewhere or on my local machine? Why the downloads?
Could someone explain what is "Speaker prompt" in this context?
Aah Turbo Pascal. That was the first "big pants" language I learnt and enjoyed.
After that... C++ was fun initially and later felt way too featured. I don't like C++ code now (especially with heavy template use and stl and boost).
I now code in Python (because most of the things I work on are in Python) though I don't like the dynamic typing.
My potential new love is Rust but we are still working out some issues
~ % which man-preview
man-preview not found
As long as you dont get carried away and spend it all
But I have only 40 free credits and I used them all up with prompts :-(
Thanks for that note. I have an audio classification hobby project (for now). Could you point me to things I should learn to get better at audio classification and generation?
Your comment about time domain making audio difficult - before doing some research I thought it would make it impossible. But looks like people have had some success with using spectrograms of short audio samples. What techniques should I try to learn to deal with the time component of audio?
One idea is to chop up the audio into short samples and treat the resulting images as a video. Then look at DL algorithms that deal with video. Am I on the right track?
Oops dumb question. Watched the first video and got my answer.
Thank you
Can one do these lessons in any order? For example, do CNN first then jump back to NLP. Or skip the implementation from scratch because I have done a similar one in another course.
This is awesome. One question I have always had - is the research on applying DL for images the most developed compared to other things?
Even DL used for audio processing (classification, separation etc) seems to convert audio to spectral graphs and apply DL to that.
Changing a problem to be expressed as image inputs will be an advantage when using DL as a solution. Would you agree ?
Thank you for creating this course. I started out on Tensor Flow but seeing this material I am in two minds whether I should abandon my TF book and start this one or save it for later. Most likely I am going to dive in :-)
But isnt that true
What do you use instead? What is a good editor (with the functions of VSCode) for Rust and Python?
vi/vim is nice but I find the convenience of VSCode - auto complete, show inf doc etc - very useful
I have nothing useful to add. But I just have to say Squash players from your country are awesome
I dislike Python too. But I use it because I have to - a lot of the stuff at work is in Python.