aws-samples / llm-evaluation-methodologyLinks
☆45Updated last year
Alternatives and similar repositories for llm-evaluation-methodology
Users that are interested in llm-evaluation-methodology are comparing it to the libraries listed below
Sorting:
- Use natural language to Generate Amazon Athena SQL queries to fetch data.☆94Updated last year
- Foundation Model Evaluations Library☆271Updated 3 months ago
- Hands-on workshop for distributed training and hosting on SageMaker☆151Updated 2 weeks ago
- Use LLMs for building real-world apps☆112Updated 10 months ago
- ☆53Updated last year
- A generative AI-powered framework for testing virtual agents.☆313Updated 2 weeks ago
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆254Updated 7 months ago
- AWS Generative AI Conversational RAG Reference (Galileo)☆80Updated this week
- ☆54Updated 2 months ago
- This repository is intended for those looking to dive deep on advanced Text-to-SQL concepts.☆127Updated 8 months ago
- Context is Key: Combining Embedding-based Retrieval with LLMs for Comprehensive Knowledge Enrichment☆31Updated 2 years ago
- Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless…☆73Updated last month
- Workshop Studio☆157Updated last year
- Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playgrou…☆177Updated this week
- ☆26Updated last year
- MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK☆149Updated 6 months ago
- ☆24Updated last year
- ☆69Updated 2 months ago
- Explore sample applications and tutorials demonstrating the prowess of Amazon Bedrock with Python. Learn to integrate Bedrock with databa…☆149Updated 8 months ago
- ☆42Updated 6 months ago
- A Python framework for multi-modal document understanding with Amazon Bedrock☆96Updated this week