Launch HN: Vellum (YC W23) – Dev Platform for LLM Apps
Analysis
Vellum aims to address the lack of tooling for LLM-based applications, focusing on prompt engineering, semantic search, performance monitoring, and fine-tuning. The article highlights key pain points such as tedious prompt engineering, the need for semantic search, and limited observability. The core value proposition is to streamline the development process for LLM-powered features, moving them from prototype to production more efficiently.
Key Takeaways
- •Addresses the lack of tooling for LLM application development.
- •Focuses on prompt engineering, semantic search, monitoring, and fine-tuning.
- •Aims to streamline the process of moving LLM features from prototype to production.
- •Identifies key pain points: tedious prompt engineering, need for semantic search, and limited observability.
Reference
“We’re building Vellum, a developer platform for building on LLMs like OpenAI’s GPT-3 and Anthropic’s Claude. We provide tools for efficient prompt engineering, semantic search, performance monitoring, and fine-tuning, helping you bring LLM-powered features from prototype to production.”