The remarkable success of large-scale pretraining followed by task-specific fine-tuning for language modeling has established this approach as a...

In today's fast-paced Artificial Intelligence (AI) world, fine-tuning Large Language Models (LLMs) has become essential. This process goes beyond...

In today's fast-paced Artificial Intelligence (AI) world, fine-tuning Large Language Models (LLMs) has become essential. This process goes beyond...

Developing large-scale neural network models that mimic the brain's activity is a major goal in the field of computational neuroscience. Existing...

Developing large-scale neural network models that mimic the brain's activity is a major goal in the field of computational neuroscience. Existing...

The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work shows that...

Computational power has become a critical factor in pushing the boundaries of what's possible in machine learning. As models grow more complex and...

Imagine simply telling your vehicle, “I’m in a hurry,” and it automatically takes you on the most efficient route to where you need to...

Eric Landau is the CEO & Co-Founder of Encord, an active learning platform for computer vision. Eric was the lead quantitative researcher on a global...

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever....