The AI assistant in Vertex AI Studio can help you refine and generate prompts

## Feature The AI assistant in Vertex AI Studio can help you refine and generate prompts. This feature is in [Preview](https://cloud.google.com/products#product-launch-stages). To learn more, see [Use AI-powered prompt writing tools](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/ai-powered-prompt-writing). ## Feature [Prompt Guard](https://console.cloud.google.com/vertex-ai/publishers/meta/model-garden/prompt-guard) and [Flux](https://console.cloud.google.com/vertex-ai/publishers/black-forest-labs/model-garden/flux1-schnell) were added to [Model Garden](https://cloud.google.com/vertex-ai/generative-ai/docs/model-garden/explore-models). ## Feature You can deploy Hugging Face models on Google Cloud that have [text embedding inference](https://huggingface.github.io/text-embeddings-inference/) enabled or [pytorch inference](https://huggingface.co/docs/inference-endpoints/supported%5Ftasks) enabled. For more information, see the [Hugging Face model deployment](http://console.cloud.google.com/vertex-ai/model-garden;action=deploy;hfSource=true) in the console. ## Change Added multiple deployment settings (with A100-80G and H100) and sample requests for some popular models, including [Llama 3.1](https://console.cloud.google.com/vertex-ai/publishers/meta/model-garden/llama3%5F1), [Gemma 2](https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/gemma2), and [Mixtral](https://console.cloud.google.com/vertex-ai/publishers/mistral-ai/model-garden/mixtral). ## Change Added dynamic LoRA serving for [Llama 3.1](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/model%5Fgarden/model%5Fgarden%5Fpytorch%5Fllama3%5F1%5Fdeployment.ipynb) and [Stable Diffusion XL](https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/community/model%5Fgarden/model%5Fgarden%5Fpytorch%5Fstable%5Fdiffusion%5Fxl%5Flora.ipynb).