Preeti AILeveraging Pretrained Vision Transformers and Masked Autoencoders in Computer Vision: An OverviewIn recent years, advancements in computer vision have been accelerated by novel architectures like Vision Transformers (ViTs) and…Jul 4
Gili NachumLLM domain adaptation using continued pre-training — Part 1/3An FAQ style three part deep diveMay 8
Atharv YeolekarComprehensive Guide to Advanced Tokenization Techniques in NLPIn the era of transformers and large language models (LLMs), tokenization often fades into the background, overshadowed by discussions of…Jun 30Jun 30
Peter Lawrence, answering users' data questionsText-to-Graph via LLM: pre-training, prompting, or tuning?Knowledge Graphs are, IMHO, the best way to structure data for any subsequent analysis. The problem is that the majority of data that is…Jan 166Jan 166
Invt.AIThe Role of Pre-Trained AI Models in Advancing Web3 ProjectsThe combination of artificial intelligence (AI) with Web3 is creating a new model for digital innovation. In this field, advanced AI…Jun 30Jun 30
Preeti AILeveraging Pretrained Vision Transformers and Masked Autoencoders in Computer Vision: An OverviewIn recent years, advancements in computer vision have been accelerated by novel architectures like Vision Transformers (ViTs) and…Jul 4
Gili NachumLLM domain adaptation using continued pre-training — Part 1/3An FAQ style three part deep diveMay 8
Atharv YeolekarComprehensive Guide to Advanced Tokenization Techniques in NLPIn the era of transformers and large language models (LLMs), tokenization often fades into the background, overshadowed by discussions of…Jun 30
Peter Lawrence, answering users' data questionsText-to-Graph via LLM: pre-training, prompting, or tuning?Knowledge Graphs are, IMHO, the best way to structure data for any subsequent analysis. The problem is that the majority of data that is…Jan 166
Invt.AIThe Role of Pre-Trained AI Models in Advancing Web3 ProjectsThe combination of artificial intelligence (AI) with Web3 is creating a new model for digital innovation. In this field, advanced AI…Jun 30
Daniyal MasoodPre-trained CNN architectures designs, performance analysis and comparisonPre-trained CNN (Convolutional Neural Network) models are neural networks that have been trained on a large dataset, typically for a…Oct 16, 2023
Simran KaushikMastering Sentiment Analysis with Pretrained NLP Models: A Comprehensive GuideHarnessing the Power of Hugging Face, VADER, TextBlob, spaCy, and Flair for Effective Sentiment ClassificationJun 27
Michael XTowards Multimodal LLMs — Video-Language Pre-Training MethodsIn this section, we will introduce video-language pre-training methods in recent years. These methods often utilize a transformer as a…Mar 29, 2023