Deep neural networks (DNNs) have found widespread success across various fields. This success can be attributed to first-order optimizers such as stochastic gradient descent with momentum (SGDM) and AdamW. However, these methods encounter challenges in efficiently training large-scale models. As an alternative, second-order optimizers like K-FAC, Shampoo, AdaBK, and Sophia have demonstrated superior convergence properties,…
Tsinghua University's Knowledge Engineering Group (KEG) has introduced GLM-4 9B, an innovative, open-source language model that surpasses other models like GPT-4 and Gemini in different benchmark tests. Developed by the Tsinghua Deep Model (THUDM) team, GLM-4 9B signals an important development in the sphere of natural language processing.
At its core, GLM-4 9B is a colossal…
Building web applications can be a daunting task, especially for those who are not well-versed with JavaScript, CSS, or HTML. Creating visually appealing and functional web applications can take a lot of time and delays in the development process can negatively impact productivity and innovation. Traditionally, frameworks like Django and Flask have been used to…
