The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. These models are trained on vast...
Unlocking the secrets of BERT compression: a student-teacher framework for max efficiencyIn recent times, the evolution of huge language models has skyrocketed. BERT became some of the popular and efficient models allowing to resolve...
As an alternative of using images, the researchers encoded shape, color, and position into sequences of numbers. This ensures that the tests won’t appear in any training data, says Webb: “I created this...
Open Language ModelsFrom perplexity to measuring general intelligenceAs open source language models develop into more available, getting lost in all the choices is straightforward.How can we determine their performance and compare them? And the...
Large language models are in every single place. Every customer conversation or VC pitch involves questions on how ready LLM tech is and the way it's going to drive future applications. I covered some...
A high-level overview of the newest convolutional kernel structures in Deformable Convolutional Networks, DCNv2, DCNv3In this text, now we have reviewed kernel structures for normal convolutional networks, together with their latest improvements, including deformable...