Ahead of AI #4: A Big Year For AI - by Sebastian Raschka

Linking pages

Open Source Highlights 2022 for Machine Learning & AI https://sebastianraschka.com/blog/2023/open-source-highlights-2022.html 0 comments

Linked pages

[2207.08815] Why do tree-based models still outperform deep learning on tabular data? https://arxiv.org/abs/2207.08815 266 comments
GitHub - openai/whisper: Robust Speech Recognition via Large-Scale Weak Supervision https://github.com/openai/whisper/ 126 comments
[2205.06175] A Generalist Agent https://arxiv.org/abs/2205.06175 58 comments
[2103.14030] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows https://arxiv.org/abs/2103.14030 20 comments
A Short Chronology Of Deep Learning For Tabular Data https://sebastianraschka.com/blog/2022/deep-learning-for-tabular-data.html 19 comments
GitHub - lucidrains/PaLM-rlhf-pytorch: Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM https://github.com/lucidrains/PaLM-rlhf-pytorch 15 comments
Deep Learning Fundamentals - Lightning AI https://lightning.ai/pages/courses/deep-learning-fundamentals/ 12 comments
[1512.03385] Deep Residual Learning for Image Recognition http://arxiv.org/abs/1512.03385 6 comments
[2201.03545] A ConvNet for the 2020s https://arxiv.org/abs/2201.03545 5 comments
GitHub - CompVis/stable-diffusion: A latent text-to-image diffusion model https://github.com/CompVis/stable-diffusion 4 comments
[1503.03585] Deep Unsupervised Learning using Nonequilibrium Thermodynamics https://arxiv.org/abs/1503.03585 2 comments
[2203.15556] Training Compute-Optimal Large Language Models https://arxiv.org/abs/2203.15556 0 comments
[2204.02311] PaLM: Scaling Language Modeling with Pathways https://arxiv.org/abs/2204.02311 0 comments
[1711.05101] Decoupled Weight Decay Regularization https://arxiv.org/abs/1711.05101 0 comments
[1703.06870] Mask R-CNN https://arxiv.org/abs/1703.06870 0 comments
Introduction to Machine Learning https://sebastianraschka.com/blog/2021/ml-course.html#l16---applying-naive-bayes 0 comments
The state of AI in 2022âand a half decade in review | McKinsey https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review 0 comments