Meta’s OPT 175B language model and DALL-E Mega is training
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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!
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The Weird and Wonderful World of AI Art (w/ Author Jack Morris)
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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
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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
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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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How to Generate AI Art in 5 Minutes for Free
Wow, just wow. Check out the notebook to try it for yourself.
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DIABLo: a Deep Individual
Here’s an interesting video from Microsoft Research In this project, we have developed and studied a deep neural network-based individual-agnostic general-purpose binaural localizer (BL) for sound sources located at arbitrary directions on the $4\pi$ sphere. Unlike binaural localization models trained with an HRIR catalog associated with a specific head and ear shape, an individual-agnostic model […]
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DeepMind tackles Math and More in ML News
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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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How AI is Taking over your Phone
Ever wonder how the smart phone in your pocket does what it does? It’s no secret that in the last few years phone makers have turned to machine learning and neural networks to do the hard stuff that we take for granted. This combined that with the custom GPU’s that power them and training data […]
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Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
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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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Challenges of Training Large-Scale Neural Networks
Here’s an interesting look at the unique challenges that present themselves when training large neural networks.
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