Alternatives and similar repositories for bias-mitigation-for-llms:

Users that are interested in bias-mitigation-for-llms are comparing it to the libraries listed below

• aws-samples / llm-evaluation-methodology
  ☆41Updated 4 months ago
• aws-samples / load-test-llm-with-locust
  ☆20Updated last month
• aws-samples / fine-tuning-llm-with-domain-knowledge
  This repo walks you through how to use transfer learning to fine tune a LLM (large language model) using UK Supreme Court case law as the…
  ☆34Updated last year
• aws-samples / unlocking-the-potential-of-generative-ai-in-industrial-operations
  ☆15Updated 11 months ago
• aws-samples / multimodal-rag-on-slide-decks
  'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker
  ☆39Updated 2 months ago
• aws-samples / amazon-sagemaker-llm-fine-tuning-remote-decorator
  ☆55Updated last month
• aws-solutions-library-samples / guidance-for-generating-product-descriptions-with-amazon-bedrock
  Building Product Descriptions with AWS Bedrock and Rekognition
  ☆10Updated 5 months ago
• aws-samples / rag-with-amazon-postgresql-using-pgvector-and-sagemaker
  Question Answering application with Large Language Models (LLMs) and Amazon Postgresql using pgvector
  ☆16Updated 3 months ago
• aws-samples / llmops-workshop
  ☆23Updated 3 months ago
• aws-samples / Mistral-7B-Instruct-fine-tune-and-deploy-on-SageMaker
  ☆18Updated last month
• aws-samples / aiml-genai-multimodal-agent
  ☆49Updated 10 months ago
• aws-samples / generating-synthetic-datasets-for-evaluating-retrieval-augmented-generation-systems
  The repository guides you through generating a synthetic dataset for a QA-RAG application using the Bedrock API, Python and Langchain.
  ☆17Updated 6 months ago
• build-on-aws / bedrock-agent-txt2sql
  Use natural language to Generate Amazon Athena SQL queries to fetch data.
  ☆69Updated 4 months ago
• aws-samples / advanced-rag-patterns-on-mixtral
  Advanced RAG patterns on Amazon SageMaker
  ☆14Updated 9 months ago
• mddunlap924 / LangChain-SynData-RAG-Eval
  LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation
  ☆38Updated last year
• aws-samples / training-llm-on-sagemaker-for-multiple-nodes-with-deepspeed
  ☆25Updated last year
• aws-samples / generative-ai-on-aws-architecture-patterns
  ☆21Updated last year
• aws-samples / rag-with-amazon-opensearch-and-sagemaker
  Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service
  ☆24Updated 3 months ago
• RamVegiraju / SageMaker-Deployment
  Compilation of examples of SageMaker inference options and other features.
  ☆68Updated this week
• rajshah4 / LLM-Evaluation
  Sample notebooks and prompts for LLM evaluation
  ☆123Updated 4 months ago
• philschmid / sagemaker-huggingface-llama-2-samples
  ☆88Updated last year
• arunprsh / knowledge-augmented-LLMs
  Context is Key: Combining Embedding-based Retrieval with LLMs for Comprehensive Knowledge Enrichment
  ☆32Updated last year
• aws-samples / fsi-genai-bootcamp
  ☆34Updated this week
• aws-samples / genai-playground-common-design-patterns
  ☆15Updated last year
• awslabs / extending-the-context-length-of-open-source-llms
  ☆51Updated 3 months ago
• aws-samples / text-embeddings-pipeline-for-rag
  A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store
  ☆15Updated last month
• aws-samples / amazon-bedrock-synthetic-manufacturing-data-generator
  ☆11Updated 10 months ago
• ibm-ecosystem-engineering / SuperKnowa
  Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging co…
  ☆109Updated 8 months ago
• aws-samples / amazon-sagemaker-genai-content-moderation
  ☆13Updated 11 months ago
• PacktPublishing / Generative-AI-with-Amazon-Bedrock
  Generative AI with Amazon Bedrock, published by Packt
  ☆24Updated 7 months ago