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- GPT-3 Description: GPT-3, or Generative Pre-trained Transformer 3, is the third iteration of the language model developed by OpenAI. This model is(...) Read more
- GPT-4 Description: GPT-4 is the fourth version of the Generative Pre-trained Transformer developed by OpenAI. This large language model is(...) Read more
- Generative Pre-trained Transformer 2 Description: The Generative Pre-trained Transformer 2 (GPT-2) is an improved version of its predecessor, designed to generate coherent and(...) Read more
- Generative Pre-trained Transformer 3 Description: The Generative Pre-trained Transformer 3 (GPT-3) is an advanced language model based on the capabilities of its predecessor, GPT-2,(...) Read more
- Generative Pre-trained Transformer 4 Description: The Generative Pre-trained Transformer 4 (GPT-4) is the latest version of the series of language models developed by OpenAI, which(...) Read more
- Generative Flow Description: Generative flow is an innovative method in the field of machine learning that allows for generating samples from a complex(...) Read more
- Gaussian Process Regression Description: Gaussian Process Regression is a Bayesian regression technique that uses Gaussian processes to model the distribution of possible(...) Read more
- Graph Attention Network Description: A Graph Attention Network (GAT) is a type of neural network that applies attention mechanisms to data structured as graphs. These(...) Read more
- Grounded Learning Description: Grounded Learning is a machine learning approach that emphasizes the importance of real-world context in model training. This(...) Read more
- Geometric Transformations Description: Geometric transformations are mathematical operations that alter the position, size, or shape of an object in a geometric space.(...) Read more
- Grid Search CV Description: Grid search CV is an advanced technique used in hyperparameter optimization in machine learning models. This methodology combines(...) Read more
- Gumbel Softmax Description: Gumbel Softmax is a technique that provides a continuous relaxation of categorical sampling, allowing differentiable sampling from(...) Read more
- Gradient-Boosted Regression Trees Description: Gradient boosted regression trees are a machine learning technique that combines the structure of a decision tree with the gradient(...) Read more
- Gradient Boosting Machine Description: The gradient boosting machine is an ensemble learning technique that builds models in a staged manner using gradient boosting. This(...) Read more
- Gaussian Mixture Models Description: Gaussian Mixture Models (GMMs) are probabilistic models that assume all data points are generated from a mixture of several(...) Read more
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