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2. Mamba (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Mamba_(deep_learning...

   To enable handling long data sequences, Mamba incorporates the Structured State Space sequence model (S4). [2] S4 can effectively and efficiently model long dependencies by combining continuous-time, recurrent, and convolutional models. These enable it to handle irregularly sampled data, unbounded context, and remain computationally efficient ...

3. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

4. Data-driven model - Wikipedia

   en.wikipedia.org/wiki/Data-driven_model

   Data-driven models encompass a wide range of techniques and methodologies that aim to intelligently process and analyse large datasets. Examples include fuzzy logic, fuzzy and rough sets for handling uncertainty, [3] neural networks for approximating functions, [4] global optimization and evolutionary computing, [5] statistical learning theory, [6] and Bayesian methods. [7]

5. List of datasets for machine-learning research - Wikipedia

   en.wikipedia.org/wiki/List_of_datasets_for...

   Chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. 13 properties of each wine are given 178 Text Classification, regression 1991 [196] [197] M. Forina et al. Combined Cycle Power Plant Data Set Data from various sensors within a power plant running for 6 years. None 9568 Text Regression 2014

6. Foundation model - Wikipedia

   en.wikipedia.org/wiki/Foundation_model

   The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]

7. What OpenAI’s o3 means for AI progress and what it ... - AOL

   www.aol.com/finance/openai-o3-means-ai-progress...

   On Dec. 20, the company unveiled a new AI model called o3 that showed off-the-charts performance on a series of benchmark tests, including one specifically designed to gauge whether AI models are ...