LastMile AI

LastMile AI offers a full developer platform to help engineers productionize generative AI applications with confidence. It helps with challenges like debugging and evaluating RAG pipelines, optimizing prompts, and managing models.

Some of the features include:

• Auto-Eval: Automated evaluators to spot hallucinations in RAG systems, with the ability to fine-tune for other evaluations like answer relevance.
• RAG Debugger: Unified OpenTelemetry traces to optimize RAG performance and find the optimal combination of chunking strategies, embedding models and retrieval algorithms.
• Consult AI Expert: A team of engineers and ML researchers to help build, debug and evaluate enterprise-grade RAG applications.
• AIConfig: An open-source framework for version control and optimizing prompts and model parameters, decoupling model-specific logic from application code.
• Service Mesh: A unified API gateway for calling third-party models, handling model inference, routing, response caching, monitoring and rate limiting.

LastMile AI is geared for engineers, not just ML experts, with tools to make generative AI more accessible and manageable. The platform supports multiple AI models, including text, image and audio modalities, so it can be used for a broad range of applications.

Workbooks, a part of LastMile AI, offers a notebook-inspired environment for prototyping and building apps with multiple AI models like GPT4, ChatGPT, Stable Diffusion v1.5, DALL-E, Whisper and Hugging Face models. You can access all of these models in one place, chain outputs with parameterization, and collaborate with others on AI apps and workflows.

LastMile AI offers support through GitHub, community forums and documentation, as well as a dedicated team for more serious help. For those looking to run production-ready generative AI applications, LastMile AI hopes to make it easier and ensure success.

Published on June 14, 2024