Results 51 to 60 of about 89,234 (277)
LLM based QA chatbot builder: A generative AI-based chatbot builder for question answering
Large language model (LLM) based interactive chatbots have been gaining popularity as a tool to serve organizational information among people. Building such a tool goes through several development phases i.e.
Md. Shahidul Salim +4 more
doaj +1 more source
Parametric Retrieval Augmented Generation
Retrieval-augmented generation (RAG) techniques have emerged as a promising solution to enhance the reliability of large language models (LLMs) by addressing issues like hallucinations, outdated knowledge, and domain adaptation. In particular, existing RAG methods append relevant documents retrieved from external corpus or databases to the input of ...
Weihang Su +8 more
openaire +2 more sources
Scalable manufacturing challenges and limited potency remain two of the most intransigent issues limiting clinical translation of EV therapeutics. Mechanical cues can induce phenotypic changes and increased vesiculation in EV source cells without the use of extraneous reagents, chemicals, and/or cargo, thereby potentially drastically improving the ...
Emily H. Powsner +10 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Architectural design relies heavily on rich and multimodal knowledge—including text descriptions, detailed tables, and complex visual information—to inform creative and technical decision-making.
Xianchuan Meng, Ziyu Tong
doaj +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Retrieval-Augmented Generation (RAG) has become an important paradigm for knowledge-intensive natural language processing, as it enables Large Language Models (LLMs) to access external evidence beyond their parametric memory.
Zhou Lei, Yanqi Xu, Shengbo Chen
doaj +1 more source
Collaboration Enabling Internet Resource Collection-Building Software and Technologies [PDF]
Over the last decade the Library of the University of California, Riverside and its collaborators have developed a number of systems, service designs, and projects that utilize innovative technologies to foster better Internet finding tools in ...
Mitchell, Steve
core
Retrieval-Augmented Generation-Based Relation Extraction
Information extraction (IE) is a transformative process that converts unstructured text data into a structured format by employing entity and relation extraction (RE) methodologies. Identifying the relation between a pair of entities plays a crucial role within this framework.
Sefika Efeoglu, Adrian Paschke
openaire +2 more sources
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source

