186 lines
6.4 KiB
YAML
186 lines
6.4 KiB
YAML
# This file is used to auto-generate the Examples Gallery page.
|
|
# Do not edit the generated examples.rst page directly.
|
|
# To request formatting changes to the generated page, file an issue with the Ray docs team.
|
|
# To reference the generated page, use examples.html.
|
|
# When adding a new example, include the skill level and framework, if applicable.
|
|
|
|
text: Below are tutorials for exploring Ray Serve capabilities and learning how to integrate different modeling frameworks.
|
|
groupby: related_technology
|
|
examples:
|
|
- title: Serve ML Models
|
|
skill_level: beginner
|
|
frameworks:
|
|
- pytorch
|
|
use_cases:
|
|
- computer vision
|
|
link: tutorials/serve-ml-models
|
|
related_technology: ml applications
|
|
- title: Serve a Stable Diffusion Model
|
|
skill_level: beginner
|
|
use_cases:
|
|
- computer vision
|
|
- generative ai
|
|
link: tutorials/stable-diffusion
|
|
related_technology: ml applications
|
|
- title: Serve a Text Classification Model
|
|
skill_level: beginner
|
|
use_cases:
|
|
- natural language processing
|
|
link: tutorials/text-classification
|
|
related_technology: ml applications
|
|
- title: Serve an Object Detection Model
|
|
skill_level: beginner
|
|
use_cases:
|
|
- computer vision
|
|
link: tutorials/object-detection
|
|
related_technology: ml applications
|
|
- title: Serve an Inference Model on AWS NeuronCores Using FastAPI
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- natural language processing
|
|
link: tutorials/aws-neuron-core-inference
|
|
related_technology: ai accelerators
|
|
- title: Serve an Inference with Stable Diffusion Model on AWS NeuronCores Using FastAPI
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- computer vision
|
|
- generative ai
|
|
link: tutorials/aws-neuron-core-inference-stable-diffusion
|
|
related_technology: ai accelerators
|
|
- title: Serve a model on Intel Gaudi Accelerator
|
|
skill_level: intermediate
|
|
frameworks:
|
|
- pytorch
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
link: tutorials/intel-gaudi-inference
|
|
related_technology: ai accelerators
|
|
- title: Scale a Gradio App with Ray Serve
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: tutorials/gradio-integration
|
|
related_technology: integrations
|
|
- title: Serve a Text Generator with Request Batching
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: tutorials/batch
|
|
related_technology: integrations
|
|
- title: Serve DeepSeek
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: tutorials/serve-deepseek
|
|
related_technology: llm applications
|
|
- title: Deploy a small-sized LLM
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: ../_collections/serve/tutorials/deployment-serve-llm/small-size-llm/README
|
|
related_technology: llm applications
|
|
- title: Deploy a medium-sized LLM
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: ../_collections/serve/tutorials/deployment-serve-llm/medium-size-llm/README
|
|
related_technology: llm applications
|
|
- title: Deploy a large-sized LLM
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: ../_collections/serve/tutorials/deployment-serve-llm/large-size-llm/README
|
|
related_technology: llm applications
|
|
- title: Deploy a vision LLM
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: ../_collections/serve/tutorials/deployment-serve-llm/vision-llm/README
|
|
related_technology: llm applications
|
|
- title: Deploy a reasoning LLM
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: ../_collections/serve/tutorials/deployment-serve-llm/reasoning-llm/README
|
|
related_technology: llm applications
|
|
- title: Deploy a hybrid reasoning LLM
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: ../_collections/serve/tutorials/deployment-serve-llm/hybrid-reasoning-llm/README
|
|
related_technology: llm applications
|
|
- title: Deploy gpt-oss
|
|
skill_level: beginner
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: ../_collections/serve/tutorials/deployment-serve-llm/gpt-oss/README
|
|
related_technology: llm applications
|
|
- title: Serve a Chatbot with Request and Response Streaming
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- generative ai
|
|
- large language models
|
|
- natural language processing
|
|
link: tutorials/streaming
|
|
related_technology: ml applications
|
|
- title: Serving models with Triton Server in Ray Serve
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- computer vision
|
|
- generative ai
|
|
link: tutorials/triton-server-integration
|
|
related_technology: integrations
|
|
- title: Serve a Java App
|
|
skill_level: advanced
|
|
link: tutorials/java
|
|
related_technology: integrations
|
|
- title: Model Multiplexing with Forecasting Models
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- time series forecasting
|
|
link: ../_collections/serve/tutorials/model_multiplexing_forecast/README
|
|
related_technology: deployment patterns
|
|
- title: Model Composition for Recommendation Systems
|
|
skill_level: intermediate
|
|
use_cases:
|
|
- recommendation systems
|
|
link: ../_collections/serve/tutorials/model-composition-recsys/README
|
|
related_technology: deployment patterns
|
|
- title: Asynchronous Inference using Ray Serve
|
|
skill_level: advanced
|
|
use_cases:
|
|
- generative ai
|
|
link: ../_collections/serve/tutorials/asynchronous-inference/asynchronous-inference
|
|
related_technology: integrations
|
|
- title: Video Analysis Inference Pipeline
|
|
skill_level: advanced
|
|
use_cases:
|
|
- computer vision
|
|
link: tutorials/video-analysis/README
|
|
related_technology: ml applications
|
|
- title: Integrate with MLflow Model Registry
|
|
skill_level: intermediate
|
|
link: model-registries
|
|
related_technology: integrations
|