Repository dedicated to Term Project of UofT Intelligent Agents

Using NVIDIA NeMo Guardrails with Amazon Bedrock via LangChain

AWS_AI_Cloudflare_workshop, Kaosiung 20240606

Educational examples of using Amazon Bedrock across multiple programming languages. No Python? No problem! Generative AI is there for all of us.

This repository contains the implementation of various AWS AI Services.

“Safe-W-S”, wrapper for AWS CLI that locates issues before executing

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Image-generating application powered by Amazon Bedrock

This project offers a sample multimodal front-end application built with Streamlit to showcase Amazon Bedrock.

The Build with AWS app simplifies selecting from over 200 AWS services by analyzing project details and recommending tailored solutions. It provides step-by-step integration guidance and features AI-driven recommendations, real-time chat support, and curated AWS resources.

Open-source code for a Food Recipe - Generative AI App on ECS, powered by AWS Bedrock Managed FM Models using CDK

A helper library that seamlessly integrates LangChain prompt templates with Amazon Bedrock's Prompt Management API, enabling efficient cross-platform prompt handling.

AI-powered investment advisor for the Korean market. Get insights from financial analyst reports to make smart decisions.

UniversalLLMAdapter class initializes the appropriate client based on the specified provider.

Explore structured data with natural language using Amazon Bedrock

Inference parameters for Amazon Bedrock

This repository demonstrates usage of Amazon Bedrock Claude 3 models for Indian languages. The use cases include but not limited to: 1. Information extraction, 2. Question answering 3. Summarisation, 4. Translation and 5. Transliteration from the content in Indian languages such as Hindi, Telugu, Tamil, Malayalam, Marathi, Kannada to mention a few.

Utilize the multimodal capabilities of Anthropic Claude on Amazon Bedrock to simplify the natural language query by feeding entity relationship diagram (ERD).