Selecting data for domain-specific art is a complex art, especially if we want to get the desired results from language ...
I discovered STORM a few weeks ago, but it has quickly become one of my favorite ai tools.Designed by computer ...
Current multimodal retrieval-augmented generation (RAG) benchmarks primarily focus on textual knowledge retrieval for question answering, which has significant limitations. In ...
Efficient parameter fine-tuning (PEFT) methods, such as low-rank adaptation (LoRA), allow large pre-trained baseline models to adapt to subsequent tasks ...
The integration of artificial intelligence (ai) tools in education has shown great potential to improve teaching methods and learning experiences, ...
artificial intelligence (ai) has made great strides in recent years, especially with the development of large-scale language models. These models, ...
ai has seen significant advancement in coding, math, and reasoning tasks. These advances are largely due to the increased use ...
Large-scale generative models such as GPT-4, DALL-E, and Stable Diffusion have transformed ai, demonstrating remarkable capabilities for generating text, images, ...
Designing computational workflows for ai applications such as chatbots and coding assistants is complex due to the need to manage ...
Aligning models with human preferences poses significant challenges in ai research, particularly in sequential and high-dimensional decision-making tasks. Traditional reinforcement ...
