17 Questions 22 Answers 0 Followers
Questions related from Abdulkader Helwan
Well, a simple answer to that question is that ChatGPT is so cool!!! Why cool! It is because it can engage in conversational interaction just like humans, which is what artificial intelligence...
08 December 2022 8,384 0 View
Dear All I am seeking some databases of patients with COVID-19. these datasets should include the medical and vital signs and conditions of those patients and whether they ended up dead or they...
07 April 2020 1,988 1 View
Graphs are a fundamental data structure that can represent a wide range of real-world problems, such as social networks, biological networks, and recommender systems. Graph neural networks (GNNs)...
01 January 1970 5,955 0 View
Self-training with Noisy Student is a popular semi-supervised learning technique in deep learning that has been shown to significantly improve model performance by using unlabeled data. It is...
01 January 1970 8,499 1 View
In natural language processing (NLP) and computer vision (CV), one of the most critical aspects of deep learning is the use of neural networks. These neural networks are responsible for...
01 January 1970 9,216 0 View
Generative Pre-trained Transformer 3 (GPT-3) is a language model that uses deep learning to produce text that resembles human speech (output). It may also generate code, stories, poems, and other...
01 January 1970 3,328 0 View
Systematic reviews are a type of literature review that aim to identify, appraise, and synthesize all the available evidence on a particular research question or topic. They are considered the...
01 January 1970 7,777 3 View
The advancement of AI technology relies heavily on the research community's access to generative AI tools, such as language models. However, the current state of AI models is often restricted by...
01 January 1970 8,615 1 View
Activation functions play a crucial role in the success of deep neural networks, particularly in natural language processing (NLP) tasks. In recent years, the Swish-Gated Linear Unit (SwiGLU)...
01 January 1970 2,107 1 View
Text-to-image models are a type of machine learning model that takes an input natural language description and produces an image matching that description. These models have made great strides in...
01 January 1970 445 0 View
Deep learning is a branch of machine learning that uses artificial neural networks to perform complex calculations on large datasets. It mimics the structure and function of the human brain and...
01 January 1970 795 4 View
The recent advancements in deep learning have led to the development of several state-of-the-art models that have revolutionized the field of computer vision. One such model is the Contrastive...
01 January 1970 7,255 0 View
I recently had a chat with one of my best friends who happens to be a great Machine Learning scientist, working at a very big company (Spire, Luxembourg). Our friendship goes way back, we had our...
01 January 1970 1,695 0 View
In recent years, the training methodologies for NLP (Natural Language Processing) and ML (Machine Learning) models have undergone several transformations. The introduction of pre-trained models...
01 January 1970 5,628 0 View
September 13, 2023 The demand for applications powered by large language models (LLMs) is increasing, from chatbots to virtual assistants to content generation. However, to achieve optimal...
01 January 1970 9,475 0 View
Computer vision tasks, such as object detection, have traditionally relied on labeled image datasets for training. However, this approach is limited to detecting only the set of classes present in...
01 January 1970 1,249 1 View
Graph Neural Networks (GNNs) are a class of deep learning models designed to process and analyze graph-structured data. GNNs leverage the inherent structural information of graphs to learn...
01 January 1970 3,217 0 View
