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docs: Add 2 examples #4872

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10 changes: 4 additions & 6 deletions examples/README.md
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Expand Up @@ -20,18 +20,16 @@ The directory contains a collection of example projects demonstrating

You can also try the following example projects.

- [BentoVLLM](https://github.com/bentoml/BentoVLLM) - Accelerate your model inference and improve serving throughput by using vLLM as your LLM backend.
- [BentoDiffusion](https://github.com/bentoml/BentoDiffusion) - Self-host diffusion models with BentoML to generate custom images and video clips.
- [BentoXTTS](https://github.com/bentoml/BentoXTTS) - Convert text to speech based on your custom audio data.
- [BentoSDXLTurbo](https://github.com/bentoml/BentoSDXLTurbo) - Create an image generation application and run inference with a single step.
- [BentoSD2Upscaler](https://github.com/bentoml/BentoSD2Upscaler) - Build an image generation application with upscaling capability.
- [BentoControlNet](https://github.com/bentoml/BentoControlNet/) - Influence image composition, adjust specific elements, and ensure spatial consistency by integrating ControlNet with your image generation process.
- [BentoWhisperX](https://github.com/bentoml/BentoWhisperX) - Convert spoken words into text for AI scenarios like virtual assistants, voice-controlled devices, and automated transcription services.
- [Sentence Transformer](https://github.com/bentoml/BentoSentenceTransformers) - Transform text into numerical vectors for a variety of natural language processing (NLP) tasks.
- [BentoCLIP](https://github.com/bentoml/BentoClip) - Build a CLIP (Contrastive Language-Image Pre-training) application for tasks like zero-shot learning, image classification, and image-text matching.
- [BentoBLIP](https://github.com/bentoml/BentoBlip) - Leverage BLIP (Bootstrapping Language Image Pre-training) to improve the way AI models understand and process the relationship between images and textual descriptions.
- [BentoLCM](https://github.com/bentoml/BentoLCM) - Deploy a REST API server for Stable Diffusion with Latent Consistency LoRAs.
- [BentoSVD](https://github.com/bentoml/BentoSVD) - Create a video generation application powered by Stable Video Diffusion (SVD).
- [BentoVLLM](https://github.com/bentoml/BentoVLLM) - Accelerate your model inference and improve serving throughput by using vLLM as your LLM backend.
- [BentoBark](https://github.com/bentoml/BentoBark) - Generate highly realistic audio like music, background noise and simple sound effects with Bark.
- [BentoYolo](https://github.com/bentoml/BentoYolo) - Build an object detection inference API server with YOLO.
- [RAG](https://github.com/bentoml/rag-tutorials) - Self-host a private RAG app using custom embedding and language models.
- [BentoChatTTS](https://github.com/bentoml/BentoChatTTS) - Deploy a text-to-speech model ChatTTS for dialogue scenarios like chatbots and virtual assistants.
- [BentoMoirai](https://github.com/bentoml/BentoMoirai/) - Create a forecasting inference API for time-series data.
- [BentoResnet](https://github.com/bentoml/BentoResnet) - Build an image classification inference API server with ResNet.
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