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Combined display of all available logs of AI Wiki. You can narrow down the view by selecting a log type, the username (case-sensitive), or the affected page (also case-sensitive).

10:10, 3 March 2023 Alpha5 talk contribs created page GPT4 (Redirected page to GPT-4) Tag: New redirect
10:09, 3 March 2023 Alpha5 talk contribs created page GPT3.5 (Redirected page to GPT-3.5) Tag: New redirect
10:09, 3 March 2023 Alpha5 talk contribs created page GPT3 (Redirected page to GPT-3) Tag: New redirect
10:09, 3 March 2023 Alpha5 talk contribs created page GPT2 (Redirected page to GPT-2) Tag: New redirect
10:09, 3 March 2023 Alpha5 talk contribs created page GPT1 (Redirected page to GPT-1) Tag: New redirect
10:03, 3 March 2023 Alpha5 talk contribs created page Generative Pre-trained Transformers (Redirected page to GPT) Tag: New redirect
10:03, 3 March 2023 Alpha5 talk contribs created page Generative pre-trained transformers (Redirected page to GPT) Tag: New redirect
10:02, 3 March 2023 Alpha5 talk contribs created page Generative pretrained transformer (Redirected page to GPT) Tag: New redirect
10:02, 3 March 2023 Alpha5 talk contribs created page Generative pre-trained transformer (Redirected page to GPT) Tag: New redirect
10:01, 3 March 2023 Alpha5 talk contribs created page Generative Pre-trained Transformer (Redirected page to GPT) Tag: New redirect
19:12, 2 March 2023 Alpha5 talk contribs created page Template:Needs Links (Created page with "<includeonly><div id="needsexpansion" class="notice metadata"> {| style="width:90%;max-width:600px;margin:auto;margin-bottom: 5px;background:rgba(255,255,255,0.4);border:solid #313235;border-width:1px 1px 1px 15px;padding: 2px;" ! rowspan="3" style="width:40px" | 40px|link= ! style="text-align:left" | This page needs additional information. |- |Key elements of this article are missing. You can help AI Wiki by <span class="plainlinks">[{{f...")
19:01, 2 March 2023 Elegant angel talk contribs created page Natural language input (Redirected page to Prompts) Tag: New redirect
19:00, 2 March 2023 Elegant angel talk contribs created page GPT models (Redirected page to GPT) Tag: New redirect
18:54, 2 March 2023 Elegant angel talk contribs created page Paper (Redirected page to Papers) Tag: New redirect
18:44, 2 March 2023 Elegant angel talk contribs created page Improving Language Understanding by Generative Pre-Training (Redirected page to Improving Language Understanding by Generative Pre-Training (GPT)) Tag: New redirect
18:21, 2 March 2023 Elegant angel talk contribs created page GPT-2 (Created page with "{{Needs Expansion}} GPT-2 is the 2nd GPT model released by OpenAI in February 2019. Although it is larger than its predecessor, GPT-1, it is very similar. The main difference is that GPT-2 can multitask. It is able to perform well on multiple tasks without being trained on any examples. GPT-2 demonstrated that language model could better comprehend natural language and perform better on more tasks when it is trained on a larger d...")
17:56, 2 March 2023 Elegant angel talk contribs created page GPT (Created page with "GPT-1 GPT-2 GPT-3 ChatGPT GPT-3.5")
17:55, 2 March 2023 Elegant angel talk contribs created page GPT-1 (Created page with "OpenAI released GPT-1 in June 2018. The developers found that combining the transformer architecture and unsupervised pertaining produced amazing results. GPT-1, according to the developers, was tailored for specific tasks in order to "strongly understand natural language." GPT-1 was an important stepping stone toward a language model that possesses general language-based abilitiess. It showed that language models can be efficiently pre-tra...")
16:56, 2 March 2023 Nicoboomer talk contribs created page Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers (VALL-E) (Created page with "{{see also|Papers}} ==Introduction== In the last decade, there have been significant advances in speech synthesis via neural networks and end to end modeling. Current text-to-speech (TTS), systems require high-quality data from recording studios. They also suffer from poor generalization for unseen speaker in zero-shot situations. A new TTS framework, VALL-E, has been developed to address this issue. It uses audio codec codes for an intermediate representation as well a...")
16:35, 2 March 2023 Nicoboomer talk contribs created page Template:Paper infobox (Created page with "<includeonly><div class="model"> <div class="heading">[[{{PAGENAME}}]]</div> <div style="width: 500px; display: flex; flex-direction: column;"> <div class="model-infobox-row"> {{#if:{{{name|}}}| <div class="model-infobox-cell">'''Name'''</div> <div class="model-infobox-cell">[[Has paper name::{{{name}}}]]</div> }} </div> <div class="model-infobox-row"> {{#if:{{{type|}}}| <div class="model-infobox-cell">'''Type'''</div> <div class="model-infobox-cell">{{#arraymap:{{{ty...")
16:19, 2 March 2023 User account Nicoboomer talk contribs was created
18:57, 1 March 2023 Alpha5 talk contribs created page Imbalanced dataset (Redirected page to Class-imbalanced dataset) Tag: New redirect
18:55, 28 February 2023 Alpha5 talk contribs created page Minority class (Created page with "{{see also|Machine learning terms}} ===Minority Class in Machine Learning== Minority class refers to a classification problem class with fewer instances or samples than its majority counterpart. For instance, in binary classification problems, if the positive class has more instances than the negative one, then it is considered the minority group. Multi-class problems also use this concept; minorities refer to classes with the fewest instances. Class imbalance is a prob...")
18:54, 28 February 2023 Alpha5 talk contribs created page Imbalanced data (Redirected page to Class-imbalanced dataset) Tag: New redirect
18:41, 28 February 2023 Alpha5 talk contribs created page Majority class (Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, the majority class is the more common label in a dataset that is imbalanced. For example, in a dataset where there are 80% "yes" and 20% "no", "yes" is the majority class. The opposite of the majority class the minority class. ==Impact on Model Performance== A majority class in a dataset can have an enormous effect on the performance of a machine le...")
18:29, 28 February 2023 Alpha5 talk contribs created page Mini-batch size (Redirected page to Batch size) Tag: New redirect
18:03, 28 February 2023 Alpha5 talk contribs created page Mini batch (Redirected page to Mini-batch) Tag: New redirect
18:03, 28 February 2023 Alpha5 talk contribs created page Minibatch (Redirected page to Mini-batch) Tag: New redirect
18:02, 28 February 2023 Alpha5 talk contribs created page Mini-batch (Created page with "{{see also|Machine learning terms}} ==Introduction== Mini-batch training is a machine learning technique used to efficiently train large datasets. This division of the entire dataset into smaller batches allows for faster training as well as improved convergence of the model to its optimal solution. ==Theoretical Background== Traditional machine learning relies on batch gradient descent to train the model on all data in one iteration. Unfortunately, when the dataset gro...")
16:58, 28 February 2023 Elegant angel talk contribs created page Data-centric AI (Redirected page to Data-centric AI (DCAI)) Tag: New redirect
16:57, 28 February 2023 Elegant angel talk contribs created page DCAI (Redirected page to Data-centric AI (DCAI)) Tag: New redirect
15:48, 28 February 2023 Elegant angel talk contribs created page Manipulation (Redirected page to Manipulation problem) Tag: New redirect
15:16, 28 February 2023 Elegant angel talk contribs created page Manipulation problem (Created page with "==Introduction== Artificial intelligence (AI) has revolutionized our lives, and we now use it for a wide range of applications, including image recognition, natural language processing, and machine learning. However, with every new technology comes a new set of challenges, and AI is no exception. One of the most significant challenges posed by AI is the "manipulation problem," which refers to the potential for AI systems to be used to target and manipulate individual use...")
12:34, 28 February 2023 Alpha5 talk contribs created page Layer (Created page with "{{see also|Machine learning terms}} ===Introduction to Layers in Machine Learning== Layers are a fundamental building block in artificial neural networks, machine learning algorithms modeled after the structure and function of the human brain. They perform computation on input data to produce outputs which can be used for making predictions or solving other problems. The number of layers within a neural network as well as its size and configuration determine its capacity...")
12:10, 28 February 2023 Alpha5 talk contribs created page Learning rate (Created page with "{{see also|Machine learning terms}} ==Introduction== In machine learning, learning rate is an influential hyperparameter that impacts how quickly a model learns and adapts to new data. It is used as a scalar value that adjusts model weights during training. In this article, we'll examine learning rate in detail: its definition, significance, and how it impacts performance of a machine learning model. ==Definition== Learning rate is a hyperparameter that controls the spe...")
11:42, 28 February 2023 Alpha5 talk contribs deleted page Data-centric AI (content was: "#REDIRECT Data-centric AI (DCAI)", and the only contributor was "Alpha5" (talk))
11:42, 28 February 2023 Alpha5 talk contribs deleted page DCAI (content was: "#REDIRECT Data-centric AI (DCAI)", and the only contributor was "Alpha5" (talk))
11:27, 28 February 2023 Elegant angel talk contribs created page Confident Learning (CL) (Created page with "==Introduction== Confident Learning (CL) is a subfield of supervised learning and weak-supervision aimed at characterizing label noise, finding label errors, learning with noisy labels and finding ontological issues. CL is based on the principles of pruning noisy data, counting to estimate noise and ranking examples to train with confidence. CL generalizes Angluin and Laird's classification noise process to directly estimate the joint distribution bet...")
11:04, 28 February 2023 Elegant angel talk contribs created page CL (Redirected page to Confident Learning (CL)) Tag: New redirect
11:03, 28 February 2023 Elegant angel talk contribs created page Confident learning (Redirected page to Confident learning (CL)) Tag: New redirect
08:53, 28 February 2023 Elegant angel talk contribs created page Data-centric AI (DCAI) (Created page with "==Introduction== Model-centric AI is the paradigm taught in most ML classes and revolves around producing the best model given a clean, well-curated dataset. In contrast, Data-centric AI involves systematically engineering data to build better AI systems. Data-centric AI can come in two forms: *algorithms that understand data and use that information to improve models *algorithms that modify data to improve ML models. Examples of this include curriculum learning (...")
08:53, 28 February 2023 User account Elegant angel talk contribs was created
08:52, 28 February 2023 User account ElegantA talk contribs was created
08:12, 28 February 2023 Alpha5 talk contribs created page DCAI (Redirected page to Data-centric AI (DCAI)) Tag: New redirect
08:12, 28 February 2023 Alpha5 talk contribs created page Data-centric AI (Redirected page to Data-centric AI (DCAI)) Tag: New redirect
19:03, 27 February 2023 Alpha5 talk contribs created page Automation bias (Created page with "{{see also|Machine learning terms}} ===Automation Bias in Machine Learning== Automated bias in machine learning refers to the phenomenon where a model inherits and amplifies any biases present in its training data, leading to biased or discriminatory outcomes. Machine learning algorithms are programmed with the purpose of learning patterns and relationships in training data and making predictions based on this learned information; however, if that data contains biased el...")
19:00, 27 February 2023 Alpha5 talk contribs created page Augmented reality (Created page with "{{see also|Machine learning terms}} ===Introduction to Augmented Reality in Machine Learning== Augmented Reality (AR) is the integration of digital information with the physical world, creating a hybrid environment that blends the real and virtual. Machine learning, on the other hand, is an area of artificial intelligence that develops algorithms and models to enable computers to learn from and make predictions based on data. When AR and machine learning come together, y...")
18:17, 27 February 2023 Alpha5 talk contribs created page Attribute (Created page with "{{see also|Machine learning terms}} ===Attribute in Machine Learning== An attribute, also referred to as a feature, is an identifiable property or characteristic of something being observed. In machine learning applications, attributes are employed to describe data instances or examples that feed into the model for training purposes. The objective is to extract meaningful and pertinent information from these attributes that can be used to make predictions about unseen da...")
18:09, 27 February 2023 Alpha5 talk contribs created page AUC (Area under the ROC curve) (Redirected page to AUC (Area Under the Curve)) Tag: New redirect
18:05, 27 February 2023 Alpha5 talk contribs created page Attribute sampling (Created page with "{{see also|Machine learning terms}} ===Attribute Sampling in Machine Learning== Attribute sampling is a technique in machine learning to randomly select some features from a dataset to train a model. This process can be done for various reasons, such as saving computational time during training, avoiding overfitting risks, and increasing model interpretability. In this article we'll examine different types of attribute sampling, their advantages and drawbacks, and when t...")