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Vellum
Vellum is a development platform designed specifically for creating Language Learning Model (LLM) applications. It offers a range of powerful features that simplify the development process, including no-code LLM builder, prompt engineering, search with context, deployments, workflows, test suites, monitoring and observability, and versatility in LLM use cases.
Features:
- No-Code LLM Builder: Allows users to create sophisticated applications without coding skills.
- Prompt Engineering: Facilitates prompt comparison, testing, and collaboration, enabling users to fine-tune and optimize LLM models.
- Search with Context: Uses proprietary data as the context in LLM calls, enhancing the precision and relevance of search results.
- Deployments: Enables testing, versioning, and monitoring of LLM changes in real-world production environments.
- Workflows: Streamlines the entire LLM development process, from prototyping and deployment to versioning and monitoring of complex LLM chains.
- Test Suites: Evaluate the quality of LLM outputs at scale, ensuring robust performance across various scenarios.
- Monitoring and Observability: Provides tools for monitoring LLM features in production, offering insights into performance and effectiveness.
- Versatility in LLM Use Cases: Caters to a wide range of LLM use cases, including workflow automation, document analysis, copilots, fine-tuning, Q&A over Docs, intent classification, summarization, vector search, LLM monitoring, chatbots, semantic search, LLM evaluation, sentiment analysis, and more.
Benefits:
- User-friendly deployment: Simplifies the deployment process, making it easy for users to get started with LLM development.
- Error detection and patching capabilities: Helps identify and resolve issues quickly, reducing downtime and improving overall system reliability.
- Comparison of different model providers: Allows developers to compare different LLM providers side by side, helping them make informed decisions about which provider best suits their needs.
- Streamlined collaboration: Facilitates collaboration across diverse disciplines within companies, accelerating the transition from prototyping to production.
Use Cases:
- Businesses looking to develop LLM-powered applications can leverage
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