@The Padded Cell depends. Try "FotoAssisted" model. The LoRA i extracted from my DreamBooth looks better in it than the DreamBooth, and I've seen it do the same with other LoRA files and even TI embeddings... As with any of these things, you do still have to experiment with settings to get the best results.
Thank you for this, I was able to reproduce your results for the face recognition code. My settings were the default "Contrastive Search" settings except I lowered the temperature to 0.95. In addition, my code called the same xml file as yours did but I had to move the harrcascade_frontalface_default.xml file into the same folder as the .py file. Thanks the video, it was really interesting and it helps a lot when trying to figure this stuff out.
Yup. Contrastive Search Is What You Need For Neural Text Generation ftw! Table 9 appendix A settings are good too (beam_width, alpha, decoding_len = 4, 0.6, 512)
@@NerdyRodent WOW! I used your settings suggestion (Where does Table 9 appendix A come from?) and used this as the input: # Python3 code that detects a face in an image import cv2 import numpy as np import os #Load the image img = cv2.imread('test.jpg') and it gave me the remainder perfectly! #Convert to grayscale gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #Load the cascade face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') #Look for faces in the image using the loaded cascade file faces = face_cascade.detectMultiScale(gray, 1.1, 4) #Draw a rectangle around every found face for (x, y, w, h) in faces: cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2) #Display the result cv2.imshow('img', img) cv2.waitKey()
Awesome!! Thanks!! I was getting frustrated with gpt3 not doing simple things like make a fart poem about my daughter. How dare it refuse when we're both sitting here asking it for it. Needless to say most of my time is spent arguing with it because it's being stupid - and programmed intentionally that way..
Very cool! I tried the multi model but was not able to make it work. It just started writing weird stuff. You said you needed to edit some code to make it work? What is the difference between multi and mono by the way? Awesome video!
The LoRA support may be able to do this (15:20). I was thinking of fine-tuning the bot with whatever library I happen to be working on, but haven't run anything yet.
Very cool, can't wait to try one of these models out. Do you think one of the llama models would code well. A 3090 will run the 13b version of the model nicely in 8 bit. They are talking about it in the issues pages of oogabooga. A 3090 can run a 30b if you have at least 64gb of ram as well (they have 4bit working). Can't wait to see what everyone does with these tools.
Could you please test the three (gpt, gen and santa) with the following: "This is the code. when I run it I get an error of so and so. how do I fix that". Also, did you ever compare Sourceforge Cody AI, and Codium ?
07:15 I think that first one assumed a different version of Python. If I remember correctly, before Python 3, you didn't need to put the arguments for print inside parenthesis.
It will sure be interesting to see how far it'll go in a couple of years Will we suddenly be oh yeah we got full ai now or will we even notice only time will tell
Could you please show us how to train a model using our own code and documentation? That's the first most important thing I am wondering about. ChatGPT was not able to provide any correct answers in my field of work, it gave incorrect answers 90% of the time so I had to give up on it. So I want to teach a new model and train it much more heavily for my field of work.
Anything with an Nvidia GPU, ideally the more VRAM the better. With some luck, AMD GPUs or M1 Macs. The "money isn't an issue" is an RTX 4090, but an RTX 3060 12GB is a great value option. If you're made of money, one or more Nvidia A100.
It’s in the install video, but people have been running things on the raspberry pi 😆 For the most part a low end pc will do, even something with a 4 GB GPU can do the job!
You know what would be ACTUALLY groundbreaking? An A.I that could install pytorch and cuda and all kinds of other cool stuff and make environments and install requirements WITHOUT any errors or things going wrong hahah.
@@NerdyRodent Trust me I know all this. I just bought an RTX 3060 even. I even ran the cuda installer added the cudnnn dlls. Added everything to my PATH. I ran the conda command to install it in my environment. I used the pip way to install it in the folder. I literally tried everything. nvcc shows cuda is all good. I have looked up guides. I have tried downgrading. I have literally tried everything. I don't know why it just won't play nice. When I try to do it myself it always screws up but then something like automatic1111 repo that does it all for you works everytime. go figure.
@@NerdyRodent Im serious tho. In stable diffusion you can "teach" that ai what you want with Automatic1111, I was wondering if I could do the same with these ai?? Like give them documentation and such.
@@Starius2 lol 😆 For the most part you need pretty beefy hardware, but people have been doing things like the Alpaca Lora for a bit of fine tuning. Take a look at github.com/tloen/alpaca-lora for a good fine tuning option which will run on a 4090.
Sounds interesting. I would like to see how well this could be used for coding games. I have just about all the art skills needed to make a game, but don't yet know enough about coding to make a working game. I'm slowly learning, but would be interesting to see if something like this could help me both code/learn faster.
You're the best how-to-Ai channel.
Wow, thanks! You’re the best subscriber 😀
its true
LoRAs for text models will be groundbreaking! Can you imagine the possibilities? Wow! Think of what LoRAs can do for stable diffusion already 🤯
I can’t wait!
LoRA was originally created for finefuning text models, as a fun fact 😊
@@thepaddedcell8140 LoRAs can do styles, concepts and characters, and you can combine them. Plus they train very fast.
@The Padded Cell depends. Try "FotoAssisted" model. The LoRA i extracted from my DreamBooth looks better in it than the DreamBooth, and I've seen it do the same with other LoRA files and even TI embeddings... As with any of these things, you do still have to experiment with settings to get the best results.
@The Padded Cell also, my LoRA folder is already approaching 80gb (x2 since i have a backup), imagine if those were all DreamBooth checkpoints? Lol!
Thank you for this, I was able to reproduce your results for the face recognition code. My settings were the default "Contrastive Search" settings except I lowered the temperature to 0.95. In addition, my code called the same xml file as yours did but I had to move the harrcascade_frontalface_default.xml file into the same folder as the .py file.
Thanks the video, it was really interesting and it helps a lot when trying to figure this stuff out.
Yup. Contrastive Search Is What You Need For Neural Text Generation ftw! Table 9 appendix A settings are good too (beam_width, alpha, decoding_len = 4, 0.6, 512)
@@NerdyRodent WOW! I used your settings suggestion (Where does Table 9 appendix A come from?) and used this as the input:
# Python3 code that detects a face in an image
import cv2
import numpy as np
import os
#Load the image
img = cv2.imread('test.jpg')
and it gave me the remainder perfectly!
#Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#Load the cascade
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#Look for faces in the image using the loaded cascade file
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
#Draw a rectangle around every found face
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
#Display the result
cv2.imshow('img', img)
cv2.waitKey()
Thank you so much for doing this Nerdy Rodent! this is such awesome information!
You are so welcome!
Another fine rodent release! Yay..to open source...for the peoples!
Nerdy Rodent is that your real voice? Or a naturally soothing voice over?
That one is real, however… (watch this space)
But, but...definitely, geeks can't be replaced
One day… who knows! 😎
Thank you very much for these kind of videos, testing different models etc.
You are welcome!
Awesome!! Thanks!! I was getting frustrated with gpt3 not doing simple things like make a fart poem about my daughter. How dare it refuse when we're both sitting here asking it for it. Needless to say most of my time is spent arguing with it because it's being stupid - and programmed intentionally that way..
GPT Neo is great at fart related stuff 😉
Very cool! I tried the multi model but was not able to make it work. It just started writing weird stuff. You said you needed to edit some code to make it work? What is the difference between multi and mono by the way? Awesome video!
That fill-in-the-middle sounds useful! I'd love it if Santacoder could write my docstrings/comments for me...
Right?! 😀
NGL you sound like the guy from the rust update videos! :D
waiting for the moment we can feed many files or an entire codebase to those kinds of bots
The LoRA support may be able to do this (15:20). I was thinking of fine-tuning the bot with whatever library I happen to be working on, but haven't run anything yet.
Very cool, can't wait to try one of these models out. Do you think one of the llama models would code well. A 3090 will run the 13b version of the model nicely in 8 bit. They are talking about it in the issues pages of oogabooga. A 3090 can run a 30b if you have at least 64gb of ram as well (they have 4bit working). Can't wait to see what everyone does with these tools.
Maybe. Still waiting for my Llama download!
@@NerdyRodent I hope you get one. I may jump the line... for science ;-)
Could you please test the three (gpt, gen and santa) with the following:
"This is the code. when I run it I get an error of so and so. how do I fix that".
Also, did you ever compare Sourceforge Cody AI, and Codium ?
So great to watch😊😊
😄
getting this error "Can't determine model type from model name. Please specify it manually using --model_type argument", cant load Codegen what to do
07:15 I think that first one assumed a different version of Python. If I remember correctly, before Python 3, you didn't need to put the arguments for print inside parenthesis.
Poor GPT-J is old ;)
It will sure be interesting to see how far it'll go in a couple of years
Will we suddenly be oh yeah we got full ai now or will we even notice
only time will tell
People are not making enough videos about how OpenAI is ClosedAI, it's kind of insulting to our human intelligence to even call it Open.
More Nerdy Magic! ^.^
Could you please show us how to train a model using our own code and documentation? That's the first most important thing I am wondering about. ChatGPT was not able to provide any correct answers in my field of work, it gave incorrect answers 90% of the time so I had to give up on it. So I want to teach a new model and train it much more heavily for my field of work.
Playing with that now… just need a dataset 😆
Brilliant!! 😮
Nothing seems to work for me.
How do I get the correct "Generation Parameters Preset"?
I don't have NR-CodeGen-v3 in the list.
Start with a contrastive search preset 😉
can you please make a video or leave a comment on what kind of home server id need to run this? or can it run on a laptop?
Anything with an Nvidia GPU, ideally the more VRAM the better. With some luck, AMD GPUs or M1 Macs. The "money isn't an issue" is an RTX 4090, but an RTX 3060 12GB is a great value option. If you're made of money, one or more Nvidia A100.
It’s in the install video, but people have been running things on the raspberry pi 😆 For the most part a low end pc will do, even something with a 4 GB GPU can do the job!
@@NerdyRodent Can you say for which models? Do you have any recommendations for conversational models?
@@oktayalpkabac Loads of them do conversations. Any of the gpts would do nicely!
You know what would be ACTUALLY groundbreaking? An A.I that could install pytorch and cuda and all kinds of other cool stuff and make environments and install requirements WITHOUT any errors or things going wrong hahah.
pip3 install torch torchvision torchaudio - there, I did it! XD
@@NerdyRodent "Torch not compiled with CUDA enabled" I give up lol
@@aaronversiontwo4995 You will need an Nvidia GPU, of course 😉 Pytorch.org has the full grid of options for Linux with pip or conda, etc
@@NerdyRodent Trust me I know all this. I just bought an RTX 3060 even. I even ran the cuda installer added the cudnnn dlls. Added everything to my PATH. I ran the conda command to install it in my environment. I used the pip way to install it in the folder. I literally tried everything.
nvcc shows cuda is all good. I have looked up guides. I have tried downgrading. I have literally tried everything. I don't know why it just won't play nice. When I try to do it myself it always screws up but then something like automatic1111 repo that does it all for you works everytime. go figure.
@@aaronversiontwo4995 Ah, Microsoft Windows. Best to just conda install everything there!
Is it possile to increase the prompt size to greater than 2048? say 30000+?
When alpaca or at least llama guide?
Waiting for my download ☹️
They removed alpaca, right?
amazing tech
would u say codegen is better than gpt-4 at coding?
Probably not...but being able to run it yourself is great!
Wow.
😀
Does it have the problem of gpt where it stops typing the script?
As shown, you can just continue or edit as you like!
@@NerdyRodent nice :)
👀👀👀👀👀
If it can't code, can I teach it to code??
For science!
@@NerdyRodent Im serious tho. In stable diffusion you can "teach" that ai what you want with Automatic1111, I was wondering if I could do the same with these ai?? Like give them documentation and such.
I'm serious too - it's called "fine tuning" :)
@@NerdyRodent WAIT REALLY?? I can teach it programming?? Teach me to teach it! I would love you forever and serve you!
@@Starius2 lol 😆 For the most part you need pretty beefy hardware, but people have been doing things like the Alpaca Lora for a bit of fine tuning. Take a look at github.com/tloen/alpaca-lora for a good fine tuning option which will run on a 4090.
Sounds interesting. I would like to see how well this could be used for coding games. I have just about all the art skills needed to make a game, but don't yet know enough about coding to make a working game. I'm slowly learning, but would be interesting to see if something like this could help me both code/learn faster.
It could probably be an aid to learning. Certainly in fixing code 😉
@@NerdyRodent I tried doing a search on the 'Hugging Face', and it doesn't look like there is one for GDscript. 🤔