NEWSLETTER
Meet Dolma: An English Open Corpus of 3T Tokens for Pre-Training Linguistic Model Research
Large language models (LLMs) are a recent trend as these models have gained significant importance in handling natural language processing ...
Tag: PreTraining
Scalable pre-training of large autoregressive image models
This article presents AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their ...
Google AI Research proposes SpatialVLM: a data synthesis and pre-training mechanism to improve the spatial reasoning capabilities of the VLM vision-language model
Vision-language models (VLM) are becoming more common and offer substantial advances in ai-driven tasks. However, one of the most important ...
Google DeepMind researchers propose a new artificial intelligence method called sparse fine-grained contrastive alignment (SPARC) for fine-grained vision and language pretraining
Contrastive pretraining using large, noisy text and image data sets has become popular for building overview representations. These models align ...
This AI paper proposes a novel privacy-preserving pre-training strategy called MAE-Align’ to effectively combine synthetic data and human-deleted real data
Action recognition, the task of identifying and classifying human actions from video sequences, is a crucial field within computer vision. ...
This AI article from Google DeepMind studies the gap between pre-training data composition and in-context learning in pre-trained transformers
Google DeepMind researchers explore the in-context learning (ICL) capabilities of large language models, specifically transformative ones, trained on various task ...
Unlocking the Secrets to CLIP Data Success: Introducing MetaCLIP for Optimized Language and Image Pre-Training
In recent years, there have been exceptional advances in artificial intelligence, with the introduction of many new advanced models, especially ...
Princeton Researchers Introduce ShearedLLaMA Models to Accelerate Language Model Pre-Training Using Structured Pruning
Large language models (LLMs) have become extremely popular due to their outstanding capabilities in a variety of natural language tasks. ...
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