Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 118 for “"RAG"”.
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Studies of the structure and function of the RAG-1 and RAG-2 genes
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 1993.
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Agentic Framework for Domain-specific RAG Evaluation
… these models. Retrieval-Augmented Generation (RAG) approaches are used to enhance LLM reliability by grounding responses in knowledge bases, significantly reducing hallucinations. However, RAG performance is highly domain sensitive, necessitating careful tuning of components before deployment …
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The Death of King David or, The Abishag Rag
<p>This play presents King David, at the end of his life, recounting his exploits, epiphanies, sins, insights and triumphs to his last love, Abishag, who was chosen, as the most beautiful from all twelve tribes, to keep the old man warm. It emphasizes his personal relationships and demonstrates the …
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DART-RAG: Dynamic Agentic Replanning for Trustworthy Retrieval-Augmented Generation in Scientific QA
Η Παραγωγή Επαυξημένη με Ανάκτηση (RAG) αποτελεί μια πολλά υποσχόμενη προσέγ- γιση για τη θεμελίωση των Μεγάλων Γλωσσικών Μοντέλων (LLMs) σε εξωτερική γνώση, αλλά τα τρέχοντα πλαίσια συστημάτων με ένα ή πολλαπλούς πράκτορες δυσκολεύονται με επιστημονικά ερωτήματα που απαιτούν συλλογιστική πολλαπλών …
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AI Retrieval-Augmented Generation (RAG) System with Engineering Document Information Extraction for Employee Development
… that utilize retrieval-augmented generation (RAG) to enhance employee effectiveness in trouble-shooting on a manufacturing production line. The RAG-augmented LLM tool is designed to ex-tract relevant data from proprietary engineering documents, including engineering specifications, product …
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Privacy-Focused LLM for local data processing: Implementing OLLAMA and RAG to securely query personal files in closed environments
… operational efficiency. The system leverages OLLAMA pretrained models, fine-tuned using the Hugging- Face framework, to align with organizational workflows and domain-specific needs. A Retrieval-Augmented Generation (RAG) subsystem dynamically retrieves and processes internal document …
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Regulation of amino acid transport across the lysosomal surface by the mTORC1 pathway
… to growth factor availability. While the Rag GTPases mediate the recruitment of mTORC1 to the lysosomal surface, they also have a mutually exclusive and nutrient regulated interaction with SLC38A9, a lysosomal amino acid transporter. How the mutually exclusive mTORC1-Rag and the …
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An end-to-end benchmarking framework for retrieval-augmented generation systems
… services, Retrieval-Augmented Generation (RAG) has emerged as the de facto paradigm for mitigating hallucinations and incorporating up-to-date knowledge. While the accuracy of RAG systems has been extensively studied, the system performance—specifically regarding throughput, latency, and …
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Regulation of the mTORC1 growth pathway by amino acids
… various common diseases, including cancer. The Rag GTPases interact with mTORC1 and signal amino acid sufficiency by promoting the translocation of mTORC1 to the lysosomal surface, its site of activation. The Rags are unusual GTPases in that they function as obligate heterodimers, which consist …
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ATM Deficiency -- A Multifaceted Defect in Lymphocyte Development
… repair of DNA double-strand breaks made by the Rag endonuclease. Double strand breaks incurred during G1 of the cell cycle activate ATM, a PI3-kinase-like kinase that, in response to genotoxic DNA damage, is known to phosphorylate hundreds of proteins with unique and diverse functions. Notably, …
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Improving Question Answering Systems with Retrieval Augmented Generation
… we explore Retrieval-Augmented Generation (RAG), a framework to augment generative LLMs with a neural retriever component, in a domain-specific question answering (QA) task. Empirically, we study how RAG helps LLMs in knowledge-intensive situations and explore design decisions in building a …
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Policy-Based Access Control in Federated Clinical Question Answering
Retrieval augmented generation (RAG) has recently expanded large language model versatility in answering domain-specific questions using dynamic external knowledge bases, particularly demonstrating promise in assisting clinical settings. However, due to its sensitive nature, patient medical data …
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Retrieval-Augmented Generation for Large Language Models: Enhancing Applied Economic Reasoning and Forecasting
… the role of Retrieval-Augmented Generation (RAG) as a scalable solution to these limitations by injecting external knowledge at inference time. RAG enables the integration of dynamic, unstructured data sources to refine predictions and contextualize outputs based on real-time or …
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Enhancing Retrieval Augmented Generation Through Robust Information Retrieval
Retrieval-Augmented Generation (RAG) is a popular technique for grounding the responses of Large Language Models (LLMs). RAG works by extending Information Retrieval (IR) to incorporate LLMs that generate responses based on retrieved information and a query. RAG is commonly used within the field of …
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A Predictive Model for Secondary RNA Structure Using Graph Theory and a Neural Network.
… of secondary RNA structure found in the database RAG: RNA-As-Graphs. We model the bonding of two RNA secondary structures to form a larger structure with a graph operation called merge. The resulting data from each tree merge operation is summarized and represented by a vector. We use these …
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Identification of novel proteins that regulate the amino acid-sensitive mTORC1 pathway
… acid-induced translocation is mediated by the Rag GTPases and Ragulator (the scaffold for the Rag GTPases and mTORC1 on the lysosomal membrane). Here we describe the identification of two new components of Ragulator, HBXIP and c7orf59, that are required for the lysosomal localization of both …
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A Study on Leveraging Generative Artificial Intelligence and Text Clustering to Support Vendors
… employment of retrieval augmented generation (RAG) for extracting actionable insights. Our findings indicate a relative effectiveness of K-Means over DBSCAN in clustering feedback, but the overall effectiveness is moderate, which necessitates the need for human verification to counter potential …
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Studies of amino acid sensing by the mTORC 1 pathway
… in large part to the identification of the Rag GTPases, which recruit mTORC 1 to the lysosomal surface for catalytic activation, and of the regulators of Rag function. An ultimate goal is to uncover the biochemical basis of the sensing event that triggers this signaling cascade in the first …
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Clinical Question-Answering over Distributed EHR Data
… for the domain. Retrievalaugmented generation (RAG), in which an LLM is provided with both the question and context returned by an external retriever, is a promising technique for addressing the unique qualities of clinical text. LLMs using RAG can answer questions about patient records without …
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