Repository dedicated to Term Project of UofT Intelligent Agents
Building Generative AI application RAG with Amazon Aurora and Amazon Bedrock Knowledge Base.
This demonstration showcases an AI assistant designed for gas station pricing analysts.
This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.
Document Comparison using Amazon Bedrock
It shows how to monitoring LLM.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities you need to build generative AI applications.
Using NVIDIA NeMo Guardrails with Amazon Bedrock via LangChain
AWS_AI_Cloudflare_workshop, Kaosiung 20240606
Amazon Nova models - Python examples
Repository for vct_team_manager for AWS X VCT hackathon submission.
This repository contains the implementation of various AWS AI Services.
AI assistant for a store inventory
Amazon Bedrock RAG with LangChain
チャット返信文作成支援ツール
AWS Workshop #002 AI powered Email Auto Reply
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