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Gorilla Cli ⭐ 997

LLMs for your CLI

Aws Genai Llm Chatbot ⭐ 674

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, AI21, Cohere) using AWS CDK on AWS

LLMs and Machine Learning done easily

Your Engineering Gen AI Team member 🧬🤖💻

Phidata ⭐ 220

Build AI Assistants using function calling

Generative Ai Cdk Constructs ⭐ 175

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

Generative Ai Use Cases Jp ⭐ 174

Generative AI を活用したビジネスユースケースのデモンストレーション

Bedrock Claude Chat ⭐ 167

AWS-native chatbot using Bedrock + Claude 2

Towards Agi ⭐ 55

A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)

Neo4j Generative Ai Aws ⭐ 24

Demonstration application showing how Neo4j works with Amazon Bedrock

Cumuli Aws Console Chat ⭐ 18

Chat with GPT-4 turbo on any AWS page. Share your current screen with AI.

Aws Agentic Document Assistant ⭐ 15

An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and analytical questions.

Makit Llm Lambda ⭐ 11

Example showing how to run a LLM fully inside an AWS Lambda Function

Pace Genai Demos ⭐ 8

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.

Python Fm Playground ⭐ 8

Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.

Slauth Cli ⭐ 7

CLI that scans directories for Cloud Provider SDK usage generates the IAM Policies/Permissions needed

Tutorials_covalent_pydata_2023 ⭐ 7

Covalent tutorial notebooks and slides for PyData 2023, NYC

An LLM app with Retrieval Augmented Generation (RAG) built using OpenAI GPT models, Langchain Tokenizers, HuggingFace transformers, and Meta BART summarization model wrapped in a NextJS web app hosted completely on AWS

Aws Chromadb Terraform ⭐ 5

Deployment of chromadb into AWS resources through terraform

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