#program-synthesis
Read more stories on Hashnode
Articles with this tag
Introduction While the Latent Program Network (LPN) presents a powerful new approach to program synthesis and reasoning, scaling it to larger, more...
Introduction Training the Latent Program Network (LPN) effectively requires more than just learning a mapping from input-output examples to a latent...
Introduction A key innovation of the Latent Program Network (LPN) is its ability to encode programs into a continuous latent space, allowing for...
Introduction Traditional machine learning models, including large neural networks, kernel methods, and transductive approaches, struggle with abstract...
Introduction One of the fundamental questions in machine learning is how models generalize from observed data to unseen examples. In AI research, this...
Introduction Despite the remarkable success of deep learning models, particularly large neural networks and pre-trained language models (LLMs),...