by | Jan 20, 2024 | Uncategorized
Recent studies have shown that representation learning has become an important tool for drug discovery and biological system understanding. It is a fundamental component in the identification of drug mechanisms, the prediction of drug toxicity and activity, and the...
by | Jan 20, 2024 | Uncategorized
A crucial area of interest is generating images from text, particularly focusing on preserving human identity accurately. This task demands high detail and fidelity, especially when dealing with human faces involving complex and nuanced semantics. While existing...
by | Jan 19, 2024 | Uncategorized
Large language models (LLMs) have revolutionized various AI-infused applications, from chat models to autonomous driving. This evolution has spurred the need for systems that can efficiently deploy and serve these models, especially under the increasing demand for...
by | Jan 19, 2024 | Uncategorized
Large Language Models are being used in various fields. With the growth of AI, the use of LLMs has further increased. They are used in various applications together with those that require reasoning, such as answering multiple-turn questions, completing tasks, and...
by | Jan 19, 2024 | Uncategorized
Task-agnostic model pre-training is now the norm in Natural Language Processing, driven by the recent revolution in large language models (LLMs) like ChatGPT. These models showcase proficiency in tackling intricate reasoning tasks, adhering to instructions, and...
by | Jan 19, 2024 | Uncategorized
Despite the astonishing developments and achievements in the technology field, classical diffusion models still face challenges in image generation, particularly because of their slow sampling speed and the need for extensive parameter tuning. These models, used in...