Results 91 to 100 of about 16,728 (252)
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Medical LLMs: Fine-Tuning vs. Retrieval-Augmented Generation
Large language models (LLMs) are trained on huge datasets, which allow them to answer questions from various domains. However, their expertise is confined to the data that they were trained on. In order to specialize LLMs in niche domains like healthcare,
Bhagyajit Pingua +6 more
doaj +1 more source
Question Decomposition for Retrieval-Augmented Generation
Grounding large language models (LLMs) in verifiable external sources is a well-established strategy for generating reliable answers. Retrieval-augmented generation (RAG) is one such approach, particularly effective for tasks like question answering: it retrieves passages that are semantically related to the question and then conditions the model on ...
Paul J. L. Ammann +2 more
openaire +3 more sources
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao +5 more
wiley +1 more source
Semantic Tokens in Retrieval Augmented Generation
Retrieval-Augmented Generation (RAG) architectures have recently garnered significant attention for their ability to improve truth grounding and coherence in natural language processing tasks. However, the reliability of RAG systems in producing accurate answers diminishes as the volume of data they access increases.
openaire +3 more sources
Mitochondrial SLC25A46 is upregulated in ovarian cancer (OC) and correlates with poor prognosis. SLC25A46 stabilizes CACT to activate fatty acid oxidation, increasing ATP and NADPH production to drive cell proliferation and ferroptosis evasion. SLC25A46 silencing sensitizes OC cells to ferroptosis and carboplatin, offering a promising therapeutic ...
Yunge Gao +9 more
wiley +1 more source
Multimodal retrieval-augmented generation framework for machine translation
The development of multimodal machine translation (MMT) systems has attracted significant interest due to their potential to enhance translation accuracy with visual information.
Shijian Li
doaj +1 more source
Using Retrieval vs. Cache Augmented Generation for a Pok´emon Chatbot
Cache Augmented Generation (CAG) can be an alternative to Retrieval Augmented Generation (RAG). There are differences between the two frameworks, but they work largely in the same way.
Cengiz Gunay, Jonathan Tran
doaj +1 more source
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren +8 more
wiley +1 more source
This paper introduces GraphTrace, a novel retrieval framework that integrates a domain-specific knowledge graph (KG) with a large language model (LLM) to improve information retrieval for complex, multi-hop queries.
Anna Osipjan +4 more
doaj +1 more source

