Parti – Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
-
Frank
- June 24, 2022
- AI
- anubis
- artificial intelligence
- Arxiv
- dall e 2
- dall e 2 vs graphic designer
- dalle
- dalle 2
- dalle2
- Deep Learning
- deep learning tutorial
- diffusion models
- explained
- generative models
- google imagen
- google parti
- google party
- google pathways
- image
- introduction to deep learning
- Machine Learning
- Neural Networks
- Paper
- parti
- what is deep learning
Parti is a new autoregressive text-to-image model that shows just how much scale can achieve. This model’s outputs are crips, accurate, realistic, and can combine arbitrary styles, concepts, and fulfil even challenging requests. Yannic explains the research paper. Time stamps: 0:00 – Introduction 2:40 – Example Outputs 6:00 – Model Architecture 17:15 – Datasets (incl. […]
Read More
Illustrated Guide to Transformers Neural Network: A step by step explanation
Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with step by step explanation and illustrations on how transformers work. CORRECTIONS: The sine and cosine functions are actually applied to the embedding dimensions and time steps!
Read More
Is This the Worst AI Ever?
-
Frank
- June 13, 2022
- 4chan
- 4chan ai
- 4chan bot
- 4chan pol
- 4chan pol bot
- AI
- ai bias
- artificial intelligence
- Arxiv
- Deep Learning
- eleuther ai
- explained
- gpt 3
- gpt 4
- gpt 4chan
- gpt j
- gpt-3
- gpt-3 truthful
- gpt-4
- gpt-4chan
- gpt-j
- gpt-j-6b
- gpt4
- gpt4chan
- is ai truthful
- language model evaluation
- Machine Learning
- Natural Language Processing
- Neural Networks
- Paper
- seychelle
- seychelle bot
- seychelles
- truthful qa
- truthfulqa
- trutufulqa dataset
- Turing Test
GPT-4chan was trained on over 3 years of posts from 4chan’s “politically incorrect” (/pol/) board. (and no, this is not GPT-4) You can imagine what it learned. Maybe we need to be better people so that we can make sure our AI overlords will have better behavior to model.
Read More
Neural Network Weights – Deep Learning Dictionary
-
Frank
- June 6, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
What are the weights that make up an artificial neural network?
Read More
Neural Network Nodes – Deep Learning Dictionary
-
Frank
- May 23, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
What are the nodes that make up an artificial neural network? Watch this video and find out.
Read More
Neural Network Layers – Deep Learning Dictionary
-
Frank
- May 16, 2022
- activation function
- AI
- artificial intelligence
- artificial neural network
- Autoencoders
- batch normalization
- Clustering
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- Deep Learning
- Education
- fine-tune
- GPU
- image classification
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- Supervised Learning
- TensorFlow
- tensorflow.js
- TFJS
- train
- Training
- Transfer Learning
- Tutorial
- Unsupervised Learning
What are the layers that make up an artificial neural network?
Read More
Meta’s OPT 175B language model and DALL-E Mega is training
-
Frank
- May 11, 2022
- AI
- artificial intelligence
- Arxiv
- coca
- dall-e
- dall-e mega
- dall-e mini
- dalle
- dalle 2
- Deep Learning
- deep rl course
- explained
- facebook ai
- gpt-3
- huggingface course
- huggingface rl course
- kilcher news
- Machine Learning
- machine learning news
- meta ai
- ml news
- ml news yannic
- mlnews
- Neural Networks
- openai clip
- openai davinci
- opt 175 b
- opt 175b meta
- Paper
- tortoise tts
Yannic provides us with an inside look of what’s happening in the ML world!
Read More
The Weird and Wonderful World of AI Art (w/ Author Jack Morris)
-
Frank
- May 9, 2022
- AI
- ai art
- ai art colab
- ai art generator
- aiart
- artificial intelligence
- Arxiv
- clip
- clip ai art
- clip art
- clip guided diffusion
- clip vqgan
- dall-e
- dalle
- Deep Dream
- Deep Learning
- deep learning art
- disco diffusion
- explained
- glide
- guided diffusion
- guided diffusion openai
- Machine Intelligence
- Machine Learning
- Neural Networks
- openai clip
- Paper
- picture generator
- rudall-e
- rudalle
- StyleGAN
- turbo diffusion
Since the release of CLIP, the world of AI art has seen an unprecedented level of acceleration in what’s possible to do. Whereas image generation had previously been mostly in the domain of scientists, now a community of professional artists, researchers, and amateurs are sending around colab notebooks and sharing their creations via social media. […]
Read More){kind=link}
This AI Creates Infinite NFTs
-
Frank
- May 9, 2022
- AI
- ai art
- ai created nft
- ai nft generator
- artificial intelligence
- Arxiv
- bored ape yacht club
- bored apes
- Deep Learning
- explained
- gan nft
- generative adversarial network
- goodfellow
- how to create nft
- Machine Learning
- machine learning nft
- Neural Networks
- nft gan
- nft generator
- opensea nft
- Paper
- Schmidhuber
- StyleGAN
- stylegan2
Yannic shows us how to build an AI that can create as many bored apes as we want. Fungibility for everyone, indeed.
Read More