LLaMA: Open and Efficient Foundation Language Models (Paper Explained)
Large Language Models (LLMs) are all the rage right now. ChatGPT is the LLM everyone talks about, but there are others. With the attention (and money) that OpenAI is getting, expect more of them. LLaMA is a series of large language models from 7B to 65B parameters, trained by Meta AI. They train for longer […]
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GPT-4 Rumors | AI Mind Reading | Neuron Interaction Solved | AI Theorem Proving
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Frank
- December 8, 2022
- AI
- ai mind reading
- AI news
- artificial intelligence
- Arxiv
- byzantine
- bzyantine reviewer
- Deep Learning
- deep learning tutorial
- explained
- gpt 4
- gpt 4 rumors
- gpt-4
- gpt4
- introduction to deep learning
- kilcher news
- Machine Learning
- machine learning news
- metagenomics
- mind reading
- mind reading machine learning
- ml news
- mlnews
- Neural Networks
- Paper
- what is deep learning
Yanic provides a weekly news roundup from the AI & Machine Learning world.
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This is a game changer! (AlphaTensor by DeepMind explained)
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Frank
- October 19, 2022
- AI
- ai matrix multiplication
- alpha tensor
- alpha tensor explained
- alpha zero
- alphatensor explained
- AlphaZero
- alphazero math
- artificial intelligence
- Arxiv
- Deep Learning
- deep learning tutorial
- Deep Mind
- DeepMind
- deepmind alphatensor
- deepmind math
- explained
- google deep mind
- google deepmind
- introduction to deep learning
- Machine Learning
- matrix multiplication
- matrix multiplication reinforcement learning
- Neural Networks
- Paper
- what is deep learning
Matrix multiplication is the most used mathematical operation in all of science and engineering. Speeding this up has massive consequences. Thus, over the years, this operation has become more and more optimized. A fascinating discovery was made when it was shown that one actually needs less than N^3 multiplication operations to multiply to NxN matrices. […]
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How to make your CPU as fast as a GPU – Advances in Sparsity w/ Nir Shavit
Sparsity is awesome, but only recently has it become possible to properly handle sparse models at good performance. Neural Magic does exactly this, using a plain CPU. No specialized hardware needed, just clever algorithms for pruning and forward-propagation of neural networks. Nir Shavit and I talk about how this is possible, what it means in […]
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[ML News] Stable Diffusion Takes Over! (Open Source AI Art)
Stable Diffusion has been released and is riding a wave of creativity and collaboration. But not everyone is happy about this — especially artists!
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Parti – Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
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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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Why AI is Harder Than We Think
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Frank
- May 3, 2021
- AI
- ai spring
- AI Winter
- alan turing
- are neural networks artificial intelligence
- artificial intelligence
- Arxiv
- can machines be conscious
- can machines think
- Deep Learning
- deep learning artificial intelligence
- deep learning tutorial
- elon musk artificial intelligence
- expert systems
- explained
- introduction to deep learning
- Machine Learning
- marvin minsky
- Neural Networks
- Paper
- Self Driving Cars
- what is deep learning
- why is ai hard
- why is deep learning important
Yannic Kilcher explains how the AI community has gone through regular cycles of AI Springs, where rapid progress gave rise to massive overconfidence, high funding, and overpromise, followed by these promises being unfulfilled, subsequently diving into periods of disenfranchisement and underfunding, called AI Winters. This video he explores a paper which examines the reasons for […]
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GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton’s Paper Explained)
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Frank
- March 3, 2021
- AI
- artificial intelligence
- Arxiv
- attention mechanism
- Capsule Networks
- capsule networks explained
- column
- Computer Vision
- consensus algorithm
- Deep Learning
- deep learning tutorial
- explained
- Geoff Hinton
- geoff hinton capsule networks
- geoff hinton neural networks
- Geoffrey Hinton
- geoffrey hinton deep learning
- geoffrey hinton glom
- glom model
- Google AI
- Google Brain
- hinton glom
- introduction to deep learning
- Machine Learning
- Neural Networks
- Schmidhuber
- transformer
Yannic Kilcher covers a paper where Geoffrey Hinton describes GLOM, a Computer Vision model that combines transformers, neural fields, contrastive learning, capsule networks, denoising autoencoders and RNNs. GLOM decomposes an image into a parse tree of objects and their parts. However, unlike previous systems, the parse tree is constructed dynamically and differently for each input, […]
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Free Introduction to Deep Learning Class
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Frank
- August 14, 2020
- Deep Learning
- deep learning algorithms
- deep learning applications
- deep learning edureka
- deep learning for natural language processing
- deep learning neural networks
- deep learning simplified
- deep learning tensorflow
- deep learning tutorial
- deep learning tutorial for beginners
- deep learning tutorial python
- deep learning vs machine learning
- deep learning with python
- edureka
- introduction to deep learning
- what is deep learning
- what is deep learning algorithms
edureka! provides a free session from their Deep Learning introductory class.
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Efficient Computing for Deep Learning, Robotics, and AI
Lex Fridman shared this lecture by Vivienne Sze in January 2020 as part of the MIT Deep Learning Lecture Series. Website: https://deeplearning.mit.edu Slides: http://bit.ly/2Rm7Gi1 Playlist: http://bit.ly/deep-learning-playlist LECTURE LINKS: Twitter: https://twitter.com/eems_mit YouTube: https://www.youtube.com/channel/UC8cviSAQrtD8IpzXdE6dyug MIT professional course: http://bit.ly/36ncGam NeurIPS 2019 tutorial: http://bit.ly/2RhVleO Tutorial and survey paper: https://arxiv.org/abs/1703.09039 Book coming out in Spring 2020! OUTLINE: 0:00 – Introduction […]
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