Large language models (LLMs) are the backbone of numerous applications, such as conversational agents, automated content creation, and natural language ...
Multimodal large language models (MLLM) are advancing rapidly, allowing machines to interpret and reason about textual and visual data simultaneously. ...
Information retrieval (IR) systems used in search and recommendation platforms frequently employ learning-to-rank (LTR) models to rank items in response ...
Since the Industrial Revolution, the burning of fossil fuels and changes in land use, especially deforestation, have driven increases in ...
Key points: In this Q&A, eSchool News talks with Andi Morency, founder and CEO/director of The Honors Academy of Literature ...
This article was accepted for presentation at the International Workshop on Federated Foundation Models (FL@FM-NeurIPS'24), held in conjunction with NeurIPS ...
Chatbots can play many proverbial roles: dictionary, therapist, poet, omniscient friend. The ai models powering these systems appear exceptionally adept ...
Follow Marcos on <a target="_blank" href="https://x.com/MarkMoneyMason">unknown. Ah, bitcoin: a digital enigma that dances between brilliance and bewilderment, much like a ...
Despite the success of Vision Transformers (ViT) in tasks such as classification and image generation, they face significant challenges in ...
In natural language processing (NLP), a central question is how well the probabilities generated by language models (LMs) align with ...
