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It is named "chinchilla" because it is a further development over a previous model family named Gopher.Both model families were trained in order to investigate the scaling laws of large language models.
Google also extended PaLM using a vision transformer to create PaLM-E, a state-of-the-art vision-language model that can be used for robotic manipulation. [11] [12] The model can perform tasks in robotics competitively without the need for retraining or fine-tuning. [13] In May 2023, Google announced PaLM 2 at the annual Google I/O keynote. [14]
The plain transformer architecture had difficulty converging. In the original paper [1] the authors recommended using learning rate warmup. That is, the learning rate should linearly scale up from 0 to maximal value for the first part of the training (usually recommended to be 2% of the total number of training steps), before decaying again.
Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of out-of-core algorithms. It is also used in situations where it is necessary for the algorithm to dynamically adapt to new patterns in the data, or when the data itself is ...
Physics-informed neural networks for solving Navier–Stokes equations. Physics-informed neural networks (PINNs), [1] also referred to as Theory-Trained Neural Networks (TTNs), [2] are a type of universal function approximators that can embed the knowledge of any physical laws that govern a given data-set in the learning process, and can be described by partial differential equations (PDEs).
An unboxing of a Traktor Kontrol Z2. Unboxing is the process of unpacking consumer products, especially high-tech gadgets, which is recorded on video and shared online. It is the visual documentation of the out-of-box experience. The video typically includes a detailed description and demonstration of the product.
Ensemble learning, including both regression and classification tasks, can be explained using a geometric framework. [15] Within this framework, the output of each individual classifier or regressor for the entire dataset can be viewed as a point in a multi-dimensional space.
The website offers dozens of free, self-paced tutorials in technology, Microsoft Office, work and career, reading, math, and everyday life. [3] [4] All tutorials can be accessed with no registration required, but users can also create a free edu.GCFGlobal.org account to track their learning history and create transcripts of completed tutorials. [5]