aws-solutions-library-samples / guidance-for-creating-a-personalized-avatar-with-amazon-sagemakerLinks
This Guidance shows how to calibrate and deploy a Stable Diffusion model to generate personalized avatars with a simple text prompt.
☆21Updated last year
Alternatives and similar repositories for guidance-for-creating-a-personalized-avatar-with-amazon-sagemaker
Users that are interested in guidance-for-creating-a-personalized-avatar-with-amazon-sagemaker are comparing it to the libraries listed below
Sorting:
- An agent based LLM assistant that extends RAG with batch entity extraction and SQL querying to improve performance on multi-step and anal…☆92Updated last year
- A demo application that uses Amazon SageMaker manuals and pricing data tables as an example to explore the capabilities of a generative A…☆53Updated last month
- Use LLMs for building real-world apps☆112Updated 10 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated 2 weeks ago
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆188Updated this week
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆176Updated 2 weeks ago
- aws-solutions-library-samples / guidance-for-conversational-chatbots-using-retrieval-augmented-generation-on-awsThis Guidance demonstrates how to combine Retrieval Augmented Generation (RAG) with AWS services to build generative AI applications.☆42Updated last year
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆163Updated 8 months ago
- ☆257Updated last year
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆74Updated last month
- ☆54Updated 3 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆211Updated last week
- ☆67Updated 2 weeks ago
- Learn how to Quickly build Generative AI applications with Amazon Bedrock☆90Updated last year
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆31Updated 8 months ago
- Build Generative AI applications with Langchain on AWS☆182Updated 2 years ago
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆94Updated last year
- Example code for AWS Neuron SDK developers building inference and training applications☆151Updated last week
- ☆64Updated 7 months ago
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain☆107Updated this week
- Building a Q&A app (powered by a LLM model) using AWS Bedrock, AWS Kendra, AWS S3 and Streamlit in just a couple of hours☆17Updated 2 years ago
- This project simplifies personalized Gen-AI SaaS apps. We fine-tune pre-trained models for users, use single GPUs, and ensure real-time r…☆22Updated last year
- ☆70Updated last year
- ☆24Updated 2 months ago
- RAG with langchain using Amazon Bedrock and Amazon OpenSearch☆227Updated 11 months ago
- ☆53Updated last year
- Hands-on workshop for distributed training and hosting on SageMaker☆151Updated last month
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆124Updated last month
- Creating Amazon Bedrock agents with Streamlit Framework☆131Updated 9 months ago
- LLM-powered document chat using Amazon Bedrock and AWS Serverless☆294Updated 2 weeks ago