Swedish vibe-coding startup Lovable has more than tripled its valuation in just five months. Stockholm-based Lovable on Thursday said it had raised $330 million in a Series B funding round that was ...

Figure 1. Relationship between artificial intelligence (AI), machine learning (ML), deep learning (DL), and data science and basic definitions. Figure 2. Representation of the Rosalind Franklin ...

What is a weight sparse transformer? The models are GPT-2 style decoder only transformers trained on Python code. Sparsity is not added after training, it is enforced during optimization. After each ...

In this tutorial, we explore Online Process Reward Learning (OPRL) and demonstrate how we can learn dense, step-level reward signals from trajectory preferences to solve sparse-reward reinforcement ...

Abstract: Sparse coding or sparse dictionary learning has been widely used to recover underlying structure in many kinds of natural data. Here, we provide conditions guaranteeing when this recovery is ...

To prevent initialization failure of control points, you use the argument --init_isotropic_gs_with_all_colmap_pcl on self-captured datasets. To begin the training, select the 'start' button. The ...

Robotic racket sports provide exceptional benchmarks for evaluating dynamic motion control capabilities in robots. Due to the highly non-linear dynamics of the shuttlecock, the stringent demands on ...

Anton Osika is the CEO of Lovable AI, a vibe coding platform that enables users to build apps from text prompts. Osika said in a new interview that traits like curiosity and adaptability are more ...

The use case that triggers the issue is very simple. I am trying to compute the n-gram features of a tokenized 1M dataset (i.e., from List[str] to List[int]) and then perform clustering on the dataset ...

Mixture-of-Experts (MoE) models are revolutionizing the way we scale AI. By activating only a subset of a model’s components at any given time, MoEs offer a novel approach to managing the trade-off ...