ThinkOnward's Geophysical Foundation Model is a pre-trained a Vision Transformer pre-trained on 450 synthetically generated Synthoseis 3D seismic volumes. We use a new elastic architecture and trace ...

TL;DR Key Takeaways : Liquid Foundation Models introduce a new generative AI architecture that diverges from traditional Transformers, aiming to reshape AI model design and functionality.

The DIFF Transformer significantly reduced hallucination rates compared to conventional models. In a detailed evaluation using question-answering datasets such as Qasper, HotpotQA, and 2WikiMultihopQA ...

We introduce a novel polygonal training architecture for foundation model, designed to support large-scale training paradigms. Our approach incorporates critical factors such as model size, network ...

Mixture of Experts (MoE) is an AI architecture which seeks to reduce the cost and improve the performance of AI models by sharing the internal processing workload across a number of smaller sub ...

K2 and JAIS: Advanced Foundation Models with Global Impact. ... The IFM's structure includes dedicated teams focused on model architecture, training methods, evaluation frameworks, ...

Liquid AI, a Massachusetts-based artificial intelligence (AI) startup, announced its first generative AI models not built on the existing transformer architecture. Dubbed Liquid Foundation Model (LFM) ...

(RFM, the name of Kumo’s model, stands for Relational Foundation Model.) The model also couples a graph structure with the same kind of Transformer architecture that underpins LLMs.

MatterGen is a diffusion model, an AI architecture that has been used in image creation tools. Instead of generating pictures, MatterGen generates molecules for new materials. All the data that has ...

Foundation models’ flexibility can help a business improve and streamline processes across teams without the cost and effort of developing an AI initiative from scratch.