Retrieval-Augmented-Generation
This collection encompasses various advancements in retrieval-augmented generation (RAG) techniques, particularly in the context of enhancing AI-driven applications. It includes discussions on chatbot models that leverage RAG for improved customer interactions, approaches integrating large language models with retrieval methods, and strategies for optimizing AI responses through data sourcing. Additionally, the documents address challenges enterprises face in utilizing customer data and propose innovative solutions for effective information retrieval across diverse fields, highlighting the significance of RAG in modern AI applications.
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Exploring Multilingual Embeddings for Italian Semantic Search: A Pretrained and Fine-tuned Approach
Exploring Multilingual Embeddings for Italian Semantic Search: A Pretrained and Fine-tuned Approach1m ago, 48 views
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Simplifying Document Processing with Docling for AI Applications.pdf
Simplifying Document Processing with Docling for AI Applications.pdf1m ago, 34 views
1m ago, 34 views -
ODSC East: Adaptive RAG Systems with Knowledge Graphs Building Reinforcement Learning Driven AI Applications
ODSC East: Adaptive RAG Systems with Knowledge Graphs Building Reinforcement Learning Driven AI Applications1m ago, 11 views
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AI AGENTS...............................
AI AGENTS...............................3m ago, 49 views
3m ago, 49 views -
On-premises AI approaches: The advantages of a turnkey solution, HPE Private Cloud AI
On-premises AI approaches: The advantages of a turnkey solution, HPE Private Cloud AI3m ago, 33 views
3m ago, 33 views -
Advancing Privacy and Security in Generative AI-Driven Rag Architectures: A Next-Generation Framework
Advancing Privacy and Security in Generative AI-Driven Rag Architectures: A Next-Generation Framework3m ago, 23 views
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ADVANCING PRIVACY AND SECURITY IN GENERATIVE AI-DRIVEN RAG ARCHITECTURES: A NEXT-GENERATION FRAMEWORK
ADVANCING PRIVACY AND SECURITY IN GENERATIVE AI-DRIVEN RAG ARCHITECTURES: A NEXT-GENERATION FRAMEWORK4m ago, 126 views
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The Large Language Model is not doing what you think it is.
The Large Language Model is not doing what you think it is.5m ago, 62 views
5m ago, 62 views -
RAG Scaling Cost Efficiency - Ansi ByteCode LLP
RAG Scaling Cost Efficiency - Ansi ByteCode LLP5m ago, 22 views
5m ago, 22 views -
RAG Scaling Cost Efficiency - Ansi ByteCode LLP
RAG Scaling Cost Efficiency - Ansi ByteCode LLP5m ago, 43 views
5m ago, 43 views -
Orchestrating Multi-Agent Systems for Multi-Source Information Retrieval and Question Answering with Large Language Models
Orchestrating Multi-Agent Systems for Multi-Source Information Retrieval and Question Answering with Large Language Models6m ago, 20 views
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大型語言模型在工業領域的潛力 - 4. 大型語言模型應用框架 / Frameworks for Large Language Model Applications
大型語言模型在工業領域的潛力 - 4. 大型語言模型應用框架 / Frameworks for Large Language Model Applications7m ago, 64 views
7m ago, 64 views -
大型語言模型在工業領域的潛力 - 2. 大型語言模型的應用 / Applications of Large Language Models
大型語言模型在工業領域的潛力 - 2. 大型語言模型的應用 / Applications of Large Language Models7m ago, 46 views
7m ago, 46 views -
大型語言模型在工業領域的潛力 - 1. 工業與聊天機器人 / Industry and Chatbots
大型語言模型在工業領域的潛力 - 1. 工業與聊天機器人 / Industry and Chatbots7m ago, 29 views
7m ago, 29 views -
From Archives to Insights: Using WARC-GPT to Advance Library Metaliteracy.pptx
From Archives to Insights: Using WARC-GPT to Advance Library Metaliteracy.pptx7m ago, 52 views
7m ago, 52 views -
RAG簡介：現況、原理、發展 / RAG Introduction: Current Status, Mechanisms, and Development
RAG簡介：現況、原理、發展 / RAG Introduction: Current Status, Mechanisms, and Development7m ago, 550 views
7m ago, 550 views -
Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models
Dynamic Multi-Agent Orchestration and Retrieval for Multi-Source Question-Answer Systems using Large Language Models7m ago, 102 views
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