
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. […]
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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.
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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. […]
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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.
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Exploring the LAION-5B: a 5 billion image-text-pairs dataset
- Frank
- May 2, 2022
- AI
- artificial intelligence
- Arxiv
- dall-e
- Deep Learning
- eleuther
- eleuther ai
- explained
- huggingface
- laion
- laion 400m
- laion 5b
- laion ai
- Machine Learning
- mini dall-e
- Neural Networks
- open clip
- open source clip
- open source dalle
- open source dataset
- open source machine learning
- openai clip
- openai clip dataset
- openai dalle
- Paper
- text image dataset
LAION-5B is an open, free dataset consisting of over 5 billion image-text-pairs. Today’s video is an interview with three of its creators. We dive into the mechanics and challenges of operating at such large scale, how to keep cost low, what new possibilities are enabled with open datasets like this, and how to best handle […]
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DeepMind tackles Math and More in ML News
- Frank
- December 12, 2021
- AI
- ai fundamental math
- ai math
- artificial intelligence
- Arxiv
- Deep Learning
- DeepMind
- deepmind math
- deepmind mathematics
- deepmind representation theory
- deepmind topology
- explained
- gebru
- gebru dair
- helpful things
- knot theory
- Machine Learning
- machine learning ethics
- machine learning math
- microsoft turing
- Neural Networks
- neurIPS
- neurips ethics review
- Nvidia
- Paper
- rtx 3090
- sagemaker canvas
- timnit gebru
- timnit gebru research institute
- topology
Here’s the latest round up of ML News: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – Timnit Gebru launches research institute independent from big tech 16:50 – SageMaker Canvas for no-code ML […]
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Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
- Frank
- November 28, 2021
- AI
- artificial intelligence
- Arxiv
- backpropagation through algorithms
- Deep Learning
- deep learning discrete
- discrete backpropagation
- discrete deep learning
- explained
- gradient discrete
- gradient of an algorithm
- imle
- implicit mle
- Machine Learning
- maximum likelihood
- Neural Networks
- Paper
Backpropagation is the workhorse of deep learning, but unfortunately, it only works for continuous functions that are amenable to the chain rule of differentiation. Since discrete algorithms have no continuous derivative, deep networks with such algorithms as part of them cannot be effectively trained using backpropagation. This paper presents a method to incorporate a large […]
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[ML News] New ImageNet SOTA | Uber’s H3 hexagonal coordinate system | New text-image-pair dataset
Yannic provides the latest news in machine learning in this video. Time Stamps: 0:00 – Intro 0:20 – TruthfulQA benchmark shines new light on GPT-3 2:00 – LAION-400M image-text-pair dataset 4:10 – GoogleAI’s EfficientNetV2 and CoAtNet 6:15 – Uber’s H3: A hexagonal coordinate system 7:40 – AWS NeurIPS 2021 DeepRacer Challenge 8:15 – Helpful Libraries […]
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