aws-samples / build-an-automated-large-language-model-evaluation-pipeline-on-awsLinks
☆42Updated 5 months ago
Alternatives and similar repositories for build-an-automated-large-language-model-evaluation-pipeline-on-aws
Users that are interested in build-an-automated-large-language-model-evaluation-pipeline-on-aws are comparing it to the libraries listed below
Sorting:
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆125Updated 7 months ago
- ☆54Updated 3 weeks ago
- Workshop Studio☆156Updated last year
- Creating Amazon Bedrock agents with Streamlit Framework☆128Updated 7 months ago
- ☆18Updated last year
- Learn how to quickly build Agents with Amazon Bedrock☆98Updated last year
- A demo ChatBot application developed using Amazon Bedrock service's KnowledgeBase, Agent and other AWS's serveless GenAI solution.☆117Updated 2 months ago
- ☆254Updated last year
- Build Agentic AI solutions on AWS, using latest OSS Agentic Frameworks.☆170Updated this week
- Fully managed RAG solution implemented using Knowledge Bases for Amazon Bedrock☆166Updated 2 months ago
- Amazon Bedrock Foundation models with Amazon Opensearch Serverless as a Vector DB☆201Updated 3 weeks ago
- Mistral on AWS examples for Bedrock & SageMaker☆84Updated last month
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆169Updated this week
- 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
- Multimodal Chatbot with Amazon Bedrock Knowledge Bases Integration☆28Updated 6 months ago
- ☆27Updated last year
- A full-stack serverless RAG workflow. This is thought for running PoCs, prototypes and bootstrap your MVP.☆82Updated 10 months ago
- Use LLMs for building real-world apps☆113Updated 8 months ago
- aws-solutions-library-samples / guidance-for-a-multi-tenant-generative-ai-gateway-with-cost-and-usage-tracking-on-awsThis Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like…☆85Updated 11 months ago
- Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial inte…☆275Updated 2 weeks ago
- Unlocking Creativity: Generative AI with SageMaker Jumpstart☆34Updated 2 years ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆79Updated this week
- Generative AI on AWS Immersion Day☆52Updated 5 months ago
- ☆54Updated last year
- Foundation Model Evaluations Library☆264Updated last month
- 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.☆41Updated 11 months ago
- Samples to build Generative AI applications with LangChain and Amazon Kendra☆162Updated 6 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆148Updated 7 months ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 5 months ago
- ☆67Updated last year