These examples showcases Amazon SageMaker's capabilities in the exciting field of generative artificial intelligence (AI). Generative AI models are designed to create new, synthetic data across various modalities, such as text, images, audio, and video, based on the patterns and relationships learned from training data.
- Fine-tuning and deploying a Hugging Face summarization model on SageMaker with your own scripts and dataset
- Fine-tuning and deploying the Mixtral 8x7B LLM In SageMaker with Hugging Face, using QLoRA Parameter-Efficient Fine-Tuning
- Serve large models on SageMaker with DeepSpeed Container
- Accelerate SageMaker-PyTorch FSDP Training of Llama-v2 (or GPT-NeoX) with FP8 on P5 instances
- Fine-tune Code Llama, Deploy and Evaluate the Fine-tuning with Human-eval Repository
- SageMaker JumpStart Foundation Models - Fine-tuning text generation GPT-J 6B model on domain specific dataset
- Fine-tune Gemma on SageMaker JumpStart
- Fine-tune LLaMA 2 models on SageMaker JumpStart
- Fine-tune LLaMA 3 models on SageMaker JumpStart
- Fine-tune LLaMA 3.2 Vision Language Models on SageMaker JumpStart
- Text completion: Run Llama 3 models in SageMaker JumpStart
- Domain fine-tuning Llama-3 8B model on SageMaker JumpStart
- Introduction to SageMaker JumpStart - text moderation with Llama Guard
- Introduction to SageMaker JumpStart - Text Generation with Mistral models
- Retrieval-Augmented Generation: Question Answering based on Custom Dataset with Open-sourced LangChain Library
- Introduction to SageMaker JumpStart - Text Generation
- Fine-tune and deploy LLaMA V2 models on AWS Trainium and AWS Inferentia based instances in SageMaker JumpStart
- Introduction to SageMaker HuggingFace - Text Classification
- Chat Completion: Run Llama 2 Models in SageMaker JumpStart
- Text completion: Run Llama 2 models in SageMaker JumpStart
- Retrieval-Augmented Generation: Question Answering using LangChain and Cohere's Generate and Embedding Models from SageMaker JumpStart
- Introduction to JumpStart - Text to Image
- Introduction to JumpStart - Text Embedding
- Introduction to JumpStart - Time Series Forecasting
- Text Embedding - Custom Pre/Post-Processing