Large language models (LLMs) face a significant challenge in accurately representing uncertainty over the correctness of their output. This issue…
Machine Learning
Artificial intelligence’s large language models (LLMs) have become essential tools due to their ability to process and generate human-like text,…
Artificial intelligence (AI) is focused on developing systems capable of performing tasks that typically require human intelligence, such as learning,…
Large Language Models (LLMs) face challenges in capturing complex long-term dependencies and achieving efficient parallelization for large-scale training. Attention-based models…
Gradient descent-trained neural networks operate effectively even in overparameterized settings with random weight initialization, often finding global optimum solutions despite…
Large language models (LLMs) like transformers are typically pre-trained with a fixed context window size, such as 4K tokens. However,…
Artificial intelligence (AI) focuses on creating systems capable of performing tasks requiring human intelligence. Within this field, the development of…
A major weakness of current robotic manipulation policies is their inability to generalize beyond their training data. While these policies,…
A systematic and multifaceted evaluation approach is needed to evaluate a Large Language Model’s (LLM) proficiency in a given capacity.…
As AI-generated data increasingly supplements or even replaces human-annotated data, concerns have arisen about the degradation in model performance when…
NVIDIA has recently unveiled the Nemotron-4 340B, a groundbreaking family of models designed to generate synthetic data for training large…
The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue…
Large language models (LLMs) have enabled the creation of autonomous language agents capable of solving complex tasks in dynamic environments…
Large Language Models (LLMs) have made substantial progress in the field of Natural Language Processing (NLP). By scaling up the…
Controlling the language proficiency levels in texts generated by large language models (LLMs) is a significant challenge in AI research.…
Large Language Models (LLMs) have taken over the Artificial Intelligence (AI) community in recent times. In a Reddit post, a…
The digital age demands for automation and efficiency in the domain of software and applications. Automating repetitive coding tasks and…
These days, an embedded analytics solution can cost six figures. Users are never satisfied, regardless of how much effort is…
A wide variety of areas have demonstrated excellent performance for large language models (LLMs), which are flexible tools for language…
Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the…