STable: Table Generation Framework for Encoder-Decoder Models Since the output structure of database-like tables can cover a wide range of NLP tasks, we propose a framework for text-to-table neural models applicable to, e.g. extraction of line items, joint entity and […]
LLM in MLPerf: Accelerating LLM training at scale LLM pre-training is a very costly and lengthy process. Depending on the size, it can take months on thousands of GPUs, which is an equivalent of millions of dollars. This is why […]
Deep reinforcement learning-based approach towards effective cellular reprogramming Cellular reprogramming, understood as the artificial changing of the type or the phenotypic state of a living cell, has been drawing increasing research attention for its therapeutic potential in treating the most […]
Machine Translation at Allegro – Use your model wise but data wiser A datacentric story about developing an in-house Machine Translation engine specifically for e-commerce purposes, aiming to provide better value compared to off-the-shelf solutions. Our focus is on accurately […]
Continual Learning meets Generative Modeling Neural networks experience catastrophic forgetting, resulting in a sudden loss of performance on previous tasks when learning new ones. Retraining models from scratch is often impractical due to data size and time constraints. This limitation […]
Garage: Generative-Augmented Retrieval Assisting Generation Enhancement With the recent rise in popularity of generative models (e.g. ChatGPT, GPT4) the issues with the accuracy of the provided information became a great threat. The models might generate a correct answer, but in […]
Garage: Generative-Augmented Retrieval Assisting Generation Enhancement With the recent rise in popularity of generative models (e.g. ChatGPT, GPT4) the issues with the accuracy of the provided information became a great threat. The models might generate a correct answer, but in […]
LongLLaMA – Focused Transformer: Contrastive Training for Context Scaling Large language models can incorporate new information in a contextual manner. However, the full potential of such an approach is often restrained due to a limitation in the effective context length. […]
AI in gaming: the good, the bad, and the ugly During the speech, we will review the latest achievements in AI in the gaming sector. Open problems, failures, and what the industry desperately needs. Bio Cem is a graduate of […]
Leveraging Large Language Models for Enterprise Usage Organizations worldwide are still trying to understand how to leverage generative AI models and put them into practical use. To enable them, NVIDIA developed a full-stack approach, from the hardware to develop and […]
