From d8371420f2ce3c23a6d12a97cc36e2a3ba03757c Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:22:38 +0100 Subject: [PATCH 01/17] Add description for reinforcement-learning topic --- topics/reinforcement-learning/index.md | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 topics/reinforcement-learning/index.md diff --git a/topics/reinforcement-learning/index.md b/topics/reinforcement-learning/index.md new file mode 100644 index 000000000000..dc2524d17050 --- /dev/null +++ b/topics/reinforcement-learning/index.md @@ -0,0 +1,7 @@ +--- +display_name: Reinforcement Learning +short_description: Reinforcement learning is a machine learning paradigm focused on sequential decision-making, in which an autonomous agent learns optimal behavior by interacting with a dynamic environment to maximize cumulative reward signals. +topic: reinforcement-learning +wikipedia_url: https://en.wikipedia.org/wiki/Reinforcement_learning +--- +Reinforcement learning is a machine learning paradigm focused on sequential decision-making, in which an autonomous agent learns optimal behavior by interacting with a dynamic environment to maximize cumulative reward signals. From 5aaad239d4dc3e585c73c25f2586233d110ea6e1 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:24:41 +0100 Subject: [PATCH 02/17] Add description for transformer topic --- topics/transformer/index.md | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 topics/transformer/index.md diff --git a/topics/transformer/index.md b/topics/transformer/index.md new file mode 100644 index 000000000000..c31466448feb --- /dev/null +++ b/topics/transformer/index.md @@ -0,0 +1,7 @@ +--- +display_name: Transformer +short_description: A transformer is a deep learning architecture based on self-attention mechanisms, designed to process sequential data in parallel. +topic: transformer +wikipedia_url: https://en.wikipedia.org/wiki/Transformer_(deep_learning_architecture) +--- +A transformer is a deep learning architecture based on self-attention mechanisms, designed to process sequential data in parallel. Transformers are the foundation of modern large language models and are widely used in natural language processing, computer vision, and generative AI. From 17f941cee24c4a10fa83cd8360fcbab68c6fdacf Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:26:08 +0100 Subject: [PATCH 03/17] Add description for vae topic --- topics/vae/index.md | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 topics/vae/index.md diff --git a/topics/vae/index.md b/topics/vae/index.md new file mode 100644 index 000000000000..d91cc56c09a0 --- /dev/null +++ b/topics/vae/index.md @@ -0,0 +1,8 @@ +--- +aliases: variational-autoencoder +display_name: VAE +short_description: A variational autoencoder (VAE) is a generative model that combines deep learning with Bayesian inference to learn compact latent representations of data. +topic: vae +wikipedia_url: https://en.wikipedia.org/wiki/Variational_autoencoder +--- +A variational autoencoder (VAE) is a generative model that combines deep learning with Bayesian inference to learn compact latent representations of data. VAEs are widely used for image generation, anomaly detection, and data augmentation. From 221675e11fd48aa300f33f9f95ebc66eed374c0f Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:28:32 +0100 Subject: [PATCH 04/17] Add description for representation-learning topic --- topics/representation-learning/index.md | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 topics/representation-learning/index.md diff --git a/topics/representation-learning/index.md b/topics/representation-learning/index.md new file mode 100644 index 000000000000..75e38171b678 --- /dev/null +++ b/topics/representation-learning/index.md @@ -0,0 +1,7 @@ +--- +display_name: Representation Learning +short_description: Representation learning is a set of techniques in machine learning that automatically discover compact and meaningful features from raw data. +topic: representation-learning +wikipedia_url: https://en.wikipedia.org/wiki/Feature_learning +--- +Representation learning is a set of techniques in machine learning that automatically discover compact and meaningful features from raw data. It underpins modern advances in natural language processing, computer vision, and speech recognition. From a8c116d551536ac167ee7efdf09dc50bea808b0e Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:28:37 +0100 Subject: [PATCH 05/17] Add description for world-models topic --- topics/world-models/index.md | 6 ++++++ 1 file changed, 6 insertions(+) create mode 100644 topics/world-models/index.md diff --git a/topics/world-models/index.md b/topics/world-models/index.md new file mode 100644 index 000000000000..73fa300f3270 --- /dev/null +++ b/topics/world-models/index.md @@ -0,0 +1,6 @@ +--- +display_name: World Models +short_description: World models are neural networks that learn an internal representation of an environment's dynamics, enabling agents to simulate and plan within a learned latent space. +topic: world-models +--- +World models are neural networks that learn an internal representation of an environment's dynamics, enabling agents to simulate and plan within a learned latent space. They are used in model-based reinforcement learning, robotics, and autonomous decision-making. From 647b56b2291cac36b6bf04d3aafa71290c097275 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:33:25 +0100 Subject: [PATCH 06/17] Update deep-learning topic description --- topics/deep-learning/index.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/topics/deep-learning/index.md b/topics/deep-learning/index.md index 79375c2f5f4c..06b93585eac5 100644 --- a/topics/deep-learning/index.md +++ b/topics/deep-learning/index.md @@ -1,9 +1,8 @@ --- aliases: deeplearning, deep-learning-tutorial, deep-learning-algorithms, deep-learning-papers display_name: Deep learning -short_description: Deep Learning is an artificial neural network composed of many - layers. +short_description: Deep learning is a subset of machine learning that uses multi-layered neural networks to learn hierarchical representations from data. topic: deep-learning wikipedia_url: https://en.wikipedia.org/wiki/Deep_learning --- -Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns. +Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn hierarchical representations from data. It powers modern breakthroughs in computer vision, natural language processing, speech recognition, and generative AI. From fcc2f959db914589e191219569f95cdd3cb8c283 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:33:32 +0100 Subject: [PATCH 07/17] Fix display_name casing for reinforcement-learning topic --- topics/reinforcement-learning/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/reinforcement-learning/index.md b/topics/reinforcement-learning/index.md index dc2524d17050..0a32ec1fed06 100644 --- a/topics/reinforcement-learning/index.md +++ b/topics/reinforcement-learning/index.md @@ -1,5 +1,5 @@ --- -display_name: Reinforcement Learning +display_name: Reinforcement learning short_description: Reinforcement learning is a machine learning paradigm focused on sequential decision-making, in which an autonomous agent learns optimal behavior by interacting with a dynamic environment to maximize cumulative reward signals. topic: reinforcement-learning wikipedia_url: https://en.wikipedia.org/wiki/Reinforcement_learning From e18df5c8450587e7708678f57e24b321366426e2 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:33:38 +0100 Subject: [PATCH 08/17] Fix display_name casing for representation-learning topic --- topics/representation-learning/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/representation-learning/index.md b/topics/representation-learning/index.md index 75e38171b678..163bc0eed32f 100644 --- a/topics/representation-learning/index.md +++ b/topics/representation-learning/index.md @@ -1,5 +1,5 @@ --- -display_name: Representation Learning +display_name: Representation learning short_description: Representation learning is a set of techniques in machine learning that automatically discover compact and meaningful features from raw data. topic: representation-learning wikipedia_url: https://en.wikipedia.org/wiki/Feature_learning From 4a408f799dde1cf85087e7011175e0a15a315b73 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:33:45 +0100 Subject: [PATCH 09/17] Fix display_name casing for world-models topic --- topics/world-models/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/world-models/index.md b/topics/world-models/index.md index 73fa300f3270..76004226e3b0 100644 --- a/topics/world-models/index.md +++ b/topics/world-models/index.md @@ -1,5 +1,5 @@ --- -display_name: World Models +display_name: World models short_description: World models are neural networks that learn an internal representation of an environment's dynamics, enabling agents to simulate and plan within a learned latent space. topic: world-models --- From 5d9f08dbae961010a5b1103a55b467b42c23c3cd Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:36:07 +0100 Subject: [PATCH 10/17] Add description for adversarial-attacks topic --- topics/adversarial-attacks/index.md | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 topics/adversarial-attacks/index.md diff --git a/topics/adversarial-attacks/index.md b/topics/adversarial-attacks/index.md new file mode 100644 index 000000000000..7bb81ef57bd0 --- /dev/null +++ b/topics/adversarial-attacks/index.md @@ -0,0 +1,7 @@ +--- +display_name: Adversarial attacks +short_description: Adversarial attacks are techniques that craft intentionally perturbed inputs to mislead machine learning models into producing incorrect outputs. +topic: adversarial-attacks +wikipedia_url: https://en.wikipedia.org/wiki/Adversarial_machine_learning +--- +Adversarial attacks are techniques that craft intentionally perturbed inputs to mislead machine learning models into producing incorrect outputs. They are central to research in AI robustness, security, and trustworthiness. From e45070a0b347fc99180e0ca3d9af83618087a88b Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:36:12 +0100 Subject: [PATCH 11/17] Add description for imagenet topic --- topics/imagenet/index.md | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 topics/imagenet/index.md diff --git a/topics/imagenet/index.md b/topics/imagenet/index.md new file mode 100644 index 000000000000..e51d3c33a07a --- /dev/null +++ b/topics/imagenet/index.md @@ -0,0 +1,7 @@ +--- +display_name: ImageNet +short_description: ImageNet is a large-scale visual database of labeled images organized according to the WordNet hierarchy. +topic: imagenet +wikipedia_url: https://en.wikipedia.org/wiki/ImageNet +--- +ImageNet is a large-scale visual database of labeled images organized according to the WordNet hierarchy. It has been a foundational benchmark for evaluating image classification and object recognition models in computer vision. From 2ec2712a9b1f3a24ed6b5397ea0be9efebed9604 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:44:27 +0100 Subject: [PATCH 12/17] Fix deep-learning short_description length --- topics/deep-learning/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/deep-learning/index.md b/topics/deep-learning/index.md index 06b93585eac5..bcd2db7d49dd 100644 --- a/topics/deep-learning/index.md +++ b/topics/deep-learning/index.md @@ -1,7 +1,7 @@ --- aliases: deeplearning, deep-learning-tutorial, deep-learning-algorithms, deep-learning-papers display_name: Deep learning -short_description: Deep learning is a subset of machine learning that uses multi-layered neural networks to learn hierarchical representations from data. +short_description: Deep learning is a subset of machine learning that uses multi-layered neural networks to learn representations from data. topic: deep-learning wikipedia_url: https://en.wikipedia.org/wiki/Deep_learning --- From db21fb3d2141d2f24106e16b164b5bb23eb72594 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:44:39 +0100 Subject: [PATCH 13/17] Fix reinforcement-learning short_description length and duplication --- topics/reinforcement-learning/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/reinforcement-learning/index.md b/topics/reinforcement-learning/index.md index 0a32ec1fed06..b1d648d98583 100644 --- a/topics/reinforcement-learning/index.md +++ b/topics/reinforcement-learning/index.md @@ -1,6 +1,6 @@ --- display_name: Reinforcement learning -short_description: Reinforcement learning is a machine learning paradigm focused on sequential decision-making, in which an autonomous agent learns optimal behavior by interacting with a dynamic environment to maximize cumulative reward signals. +short_description: Reinforcement learning is a machine learning paradigm where agents learn optimal behavior through environment interaction. topic: reinforcement-learning wikipedia_url: https://en.wikipedia.org/wiki/Reinforcement_learning --- From eca2e6c7df365bb619c3d71edd430e47ed1bbeb6 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:44:51 +0100 Subject: [PATCH 14/17] Fix vae short_description length --- topics/vae/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/vae/index.md b/topics/vae/index.md index d91cc56c09a0..0fbbb9036351 100644 --- a/topics/vae/index.md +++ b/topics/vae/index.md @@ -1,7 +1,7 @@ --- aliases: variational-autoencoder display_name: VAE -short_description: A variational autoencoder (VAE) is a generative model that combines deep learning with Bayesian inference to learn compact latent representations of data. +short_description: A variational autoencoder (VAE) is a generative model that learns compact latent representations using Bayesian inference. topic: vae wikipedia_url: https://en.wikipedia.org/wiki/Variational_autoencoder --- From 2addaca52092bf73f886532f5107d9de7d42c0a5 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:44:58 +0100 Subject: [PATCH 15/17] Fix representation-learning short_description length --- topics/representation-learning/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/representation-learning/index.md b/topics/representation-learning/index.md index 163bc0eed32f..61d46333018f 100644 --- a/topics/representation-learning/index.md +++ b/topics/representation-learning/index.md @@ -1,6 +1,6 @@ --- display_name: Representation learning -short_description: Representation learning is a set of techniques in machine learning that automatically discover compact and meaningful features from raw data. +short_description: Representation learning is a set of machine learning techniques that automatically discover meaningful features from raw data. topic: representation-learning wikipedia_url: https://en.wikipedia.org/wiki/Feature_learning --- From 254802404f28fc1d2657657c118d38b895531e8e Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:45:06 +0100 Subject: [PATCH 16/17] Fix world-models short_description length --- topics/world-models/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/world-models/index.md b/topics/world-models/index.md index 76004226e3b0..afa859bdc7fe 100644 --- a/topics/world-models/index.md +++ b/topics/world-models/index.md @@ -1,6 +1,6 @@ --- display_name: World models -short_description: World models are neural networks that learn an internal representation of an environment's dynamics, enabling agents to simulate and plan within a learned latent space. +short_description: World models are neural networks that learn an environment's dynamics, enabling agents to simulate and plan in latent space. topic: world-models --- World models are neural networks that learn an internal representation of an environment's dynamics, enabling agents to simulate and plan within a learned latent space. They are used in model-based reinforcement learning, robotics, and autonomous decision-making. From 81ee39d037a746d49202b003911c5879dec44576 Mon Sep 17 00:00:00 2001 From: Florent Date: Sun, 8 Mar 2026 08:45:14 +0100 Subject: [PATCH 17/17] Fix adversarial-attacks short_description length --- topics/adversarial-attacks/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/topics/adversarial-attacks/index.md b/topics/adversarial-attacks/index.md index 7bb81ef57bd0..eeccc6937c24 100644 --- a/topics/adversarial-attacks/index.md +++ b/topics/adversarial-attacks/index.md @@ -1,6 +1,6 @@ --- display_name: Adversarial attacks -short_description: Adversarial attacks are techniques that craft intentionally perturbed inputs to mislead machine learning models into producing incorrect outputs. +short_description: Adversarial attacks craft perturbed inputs to mislead machine learning models into producing incorrect outputs. topic: adversarial-attacks wikipedia_url: https://en.wikipedia.org/wiki/Adversarial_machine_learning ---