LastMile AI offers a comprehensive platform for developers to take their generative AI applications from prototype to production with confidence. The LastMile developer platform provides tools and services to debug, evaluate RAG pipelines, version, and optimize prompts, as well as manage models effectively.

One of the key features of LastMile AI is the ability to team up with companies like Auto-Eval to detect hallucinations with small, targeted evaluator models. These automated evaluators help benchmark RAG systems, outperforming GPT-4 at a fraction of the cost. They can be fine-tuned for various RAG evaluations, such as answer relevance, and customized with your application data.

The platform also includes a RAG Debugger to inspect and debug RAG applications, connecting your data to large language models in a systematic manner. This allows for unified OpenTelemetry traces across ingestion and retrieval pipelines, helping improve RAG performance through experiment comparisons.

Additionally, LastMile AI offers consulting services from AI experts to help deploy production-ready RAG applications. The team of engineers and ML researchers can assist in building, debugging, and evaluating enterprise-grade generative AI applications.

With AIConfig, users can version control and optimize prompts using an open-source framework that manages prompts as YAML configs. The AIConfig SDK helps decouple model-specific logic from application code for easy swapping of model providers, while the AIConfig Editor serves as a universal prompt playground for optimizing prompts for any model or modality.

Overall, LastMile AI's developer platform provides a unified API gateway for accessing third-party models, AI Service Mesh, to streamline access to generative AI in organizations with admin controls, safety guardrails, and more. Join the mission and explore open roles, talks, and workshops offered by LastMile AI.