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Introduction:
Introducing a cutting-edge development platform designed specifically for creating large language model (LLM) applications. This innovative platform streamlines the development process, providing developers with the tools and resources needed to build, test, and deploy powerful LLM-driven solutions efficiently. Whether you're a seasoned developer or just starting out, our platform offers the flexibility and support to bring your AI ideas to life. Join us in revolutionizing the way LLM applications are developed!
Added on:
November 28 2023
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Vellum Product Information

What is Vellum?

Vellum is a powerful development platform designed for creating LLM applications. It offers a comprehensive suite of tools for prompt engineering, semantic search, version control, testing, and monitoring. Vellum is fully compatible with all leading LLM providers, making it an ideal choice for developers seeking to enhance their applications.

How to use Vellum?

Vellum offers an extensive array of tools and features designed for effective prompt engineering, semantic search, version control, testing, and monitoring. With Vellum, users can seamlessly build and deploy LLM-powered applications, transforming ideas into reality. The platform facilitates rapid experimentation, comprehensive regression testing, and robust observability and monitoring. Users can leverage proprietary data to enhance context in LLM calls, collaborate on prompts and models, and efficiently test, version, and monitor LLM changes in production. Compatible with all major LLM providers, Vellum also features an intuitive user interface that simplifies the development process.

Vellum's Core Features

Prompt Engineering

Semantic Search

Version Control

Testing

Monitoring

Vellum's Use Cases

#1

Workflow Automation

#2

Document Analysis

#3

Copilots

#4

Fine-tuning

#5

Q&A over Docs

#6

Intent Classification

#7

Summarization

#8

Vector Search

#9

LLM MonitoringChatbotsSemantic SearchLLM EvaluationSentiment AnalysisCustom LLM EvaluationAI Chatbots

FAQ from Vellum

What can Vellum help me build?

What LLM providers are compatible with Vellum?

What are the core features of Vellum?

Can I compare and collaborate on prompts and models using Vellum?

Does Vellum support version control?

Can I use my own data as context in LLM calls?

Is Vellum provider agnostic?

Does Vellum offer a personalized demo?

What do customers say about Vellum?

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