ai has made significant progress in developing large language models (LLMs) that excel at complex tasks such as text generation, ...
This paper was accepted into the Adaptive Foundation Models (AFM) workshop at NeurIPS Workshop 2024. Follow-up conversations with virtual assistants ...
Base models show promise in medicine, especially for assisting in complex tasks such as medical decision making (MDM). MDM is ...
In recent years, multimodal large language models (MLLM) have revolutionized vision-language tasks, improving capabilities such as image captioning and object ...
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) workshop at the NeurIPS 2024 Workshop. While ...
Task planning in linguistic agents is gaining attention in LLM research, focusing on breaking down complex tasks into manageable subtasks ...
Large language models (LLMs) are based on deep learning architectures that capture complex linguistic relationships within layered structures. Primarily based ...
Machine learning for predictive modeling aims to accurately forecast outcomes based on input data. One of the main challenges in ...
The rapid evolution of large language models (LLMs) and conversational assistants requires dynamic, scalable, and configurable conversational datasets for training ...
Innovation in science is essential to human progress because it drives advances in a wide range of industries, including technology, ...
