SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable by co-designing the frontend language and the runtime system.

The core features of SGLang include:

• A Flexible Front-End Language : This allows for easy programming of LLM applications with multiple ch

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Deploying a Generative AI model requires more than a VM with a GPU. It normally includes:

• Container Service : Most often Kubernetes to run LLM Serving solutions like Hugging Face Text Generation Inference or vLLM.


• Compute Resources : GPUs for running models, CPUs for management services


• Networking and DNS : Routing traffic to the appropriate servic

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Take a look at our official page for user documentation and examples: langtest.org

Key Features

• Generate and execute more than 50 distinct types of tests only with 1 line of code


• Test all aspects of model quality: robustness, bias, representation, fairness and accuracy.​


• Automatically augment training data based on test results (for select models)​


• Sup

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