Vellum Ai

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Vellum Ai is a developer platform for large language models (LLMs). It provides a low-latency, highly reliable proxy to LLM providers, allowing you to make version-controlled changes to your prompts without requiring any code changes. It also automatically captures all the data needed to know how your models are performing in production, so you can improve them over time.

Key features of Vellum Ai:

  • Version-controlled prompts: Make changes to your prompts without redeploying your application.
  • Low latency and high reliability: Ensure your LLM applications are always available and responsive.
  • Production data capture: Understand how your models are performing and identify areas for improvement.

Use cases for Vellum.ai:

  • Natural language generation (NLG): Generate creative text formats, like poems, code, scripts, musical pieces, email, letters, etc.
  • Question answering (QA): Answer your questions in an informative way, even if they are open ended, challenging, or strange.
  • Machine translation (MT): Translate text from one language to another.
  • Summarization: Summarize text from different sources into a single coherent document.

Benefits of using Vellum.ai:

  • Reduce development time: Spend less time writing and debugging code and more time creating features.
  • Improve model performance: Gain insights into how your models are performing and make informed decisions to improve them.
  • Increase efficiency: Automate tasks and streamline your development process.

Overall, Vellum.ai is a powerful tool for developers who want to build and deploy LLM applications. It provides a number of features that can help you save time, improve performance, and increase efficiency.

Here is an example of how to use Vellum.ai to create a simple NLG application:

  1. Create a Vellum application and define a prompt for generating text. For example:
    {
    “prompt”: “Write a haiku about a cat.”
    }
  2. Deploy your Vellum application to a server.
  3. Call the Vellum application with a request body containing the prompt. For example:
    curl -X POST http://your-server-url/generate-text -d ‘{ “prompt”: “Write a haiku about a cat.” }’
  4. The Vellum application will generate the text and return it in the response body. For example:
    {
    “text”: “Meow meow meow meow,
    Patience is a virtue,
    Purr purr purr purr.”
    }

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