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Stories by Research Graph on Medium

Stories by Research Graph on Medium
Stories by Research Graph on Medium
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Author Research Graph

Refining AI Vision: How Retrieval-Augmented Generation Transforms Image Captioning in Large Language Models Leveraging External Knowledge to Enhance the Descriptive Capabilities of AI Systems Author: Vaibhav Khobragade (0009–0009–8807–5982) Introduction Large Language Models (LLMs) are artificial intelligence models that are trained on massive amounts of text data in order to generate human-like

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Author Research Graph

An Introduction to Retrieval Augmented Generation (RAG) and Knowledge Graph Author: Qingqin Fang(0009–0003–5348–4264) Introduction Large Language Models (LLMs) have transformed the landscape of natural language processing, demonstrating exceptional proficiency in generating text that closely resembles human language.

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Author Research Graph

Improving the performance of Large Language Models Author: Dhruv Gupta ChatGPT, which first came out in late 2022, took the world by storm. Since then, various LLM models and LLM based products such as Meta’s Llama and Google’s Gemini have emerged, demonstrating the power of LLMs.

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Author Research Graph

Improving the performance and application of Large Language Models Author: Amanda Kau https://orcid.org/0009-0004-4949-9284 Large language models (LLMs) like GPT-4, the engine of products like ChatGPT, have taken centre stage in recent years due to their astonishing capabilities. Yet, they are far from perfect.

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Author Research Graph

How to efficiently retrieve information for different applications Author: Wenyi Pi https://orcid.org/0009-0002-2884-2771 This article aims to explore various ways in which Retrieval-Augmented Generation (RAG) can be utilised to retrieve information and generate responses effectively within the dialogue system.

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Author Research Graph

The AI Helper Turning Mountains of Data into Bite-Sized Instructions Author: Aland Astudillo https://orcid.org/0009-0008-8672-3168 LLMs have been changing the way the entire world deals with problems and day-by-day tasks. To make them better for specific applications, they need huge amounts of data and complex and expensive approaches to training them.

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Author Research Graph

How to use GROBID to extract text from PDF Author: Aland Astudillo https://orcid.org/0009-0008-8672-3168 GROBID is a powerful and useful tool based on machine learning that can extract text information from PDF files and other files to a structured format. One of the key challenges in knowledge mining from academic articles is reading the content of PDF files.

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Author Research Graph

Authors: Nakul Nambiar (0009–0009–9720–9233)Zhuochen Wu (0009–0000–5642–5348) Research Graph is a structured representation of research objects that captures information about entities and the relationships between Researcher, Organisation, Publication, Grant and Research Data.

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Author Research Graph

Authors: Nakul Nambiar, Amir Aryani Knowledge graphs, which offer a structured representation of data and its relationships, are revolutionising how we organise and access information. With large amounts of data, it sometimes becomes difficult to draw insights from it. This blog article examines how to combine Neo4j, a graph database, with OpenAI’s Retrieval-Augmented Generation (RAG) model to build a robust knowledge management system.