LastMile AI is a developer platform tailored for software engineers and product teams aiming to create and productionize generative AI applications. Unlike many platforms that cater solely to machine learning practitioners, LastMile AI is designed to empower a wider array of developers, making it easier for them to engage with generative AI technologies.
LastMile AI provides essential tools for debugging and evaluating Reusable Attention-based Generative (RAG) pipelines. This feature ensures that applications are both robust and reliable prior to deployment, minimizing the risk of errors in production.
With the AIConfig framework, users can version and optimize prompts effectively. This framework manages prompts as YAML configurations, allowing developers to separate model-specific logic from application code. This decoupling facilitates easy swapping of model providers, enhancing flexibility in application development.
The platform includes tools for managing models through a unified API gateway known as AI Service Mesh. This service handles model inference, routing, response caching, monitoring, and rate limiting. Such features streamline access to generative AI models within organizations, providing admin controls and safety measures.
The Workbench Beta feature offers personalized evaluation models, regression testing, and debugging capabilities. This accelerates the time to production while simultaneously improving the quality of RAG applications, ensuring that developers can deliver high-quality outputs efficiently.
Auto-Eval introduces small, targeted evaluator models that outperform GPT-4 at a fraction of the cost. These models can be fine-tuned for various RAG evaluations, such as answer relevance, and can be customized using application data, making them a valuable asset for developers.
The AIConfig SDK allows users to decouple model-specific logic from application code, enhancing modularity. The AIConfig Editor acts as a universal prompt playground, enabling users to optimize prompts for various models and modalities, including text, image, and audio.
AI Service Mesh serves as a unified API gateway that manages model inference, routing, response caching, monitoring, and rate limiting. This feature allows organizations to oversee approved models, track costs, monitor usage, and enforce rate limits, ensuring efficient management of generative AI resources.
LastMile AI offers a Python SDK that provides seamless access to the LastMile AI API. This library requires a LastMile AI API Token, which can be obtained from the settings page. It is important to use this library in a server-side context to maintain secure access to the API key.
LastMile AI presents a comprehensive platform for developers looking to build and deploy generative AI applications efficiently. With a robust suite of tools for debugging, evaluating, and optimizing RAG pipelines, as well as managing models and prompts, LastMile AI is designed to be accessible to a diverse range of developers, extending beyond just machine learning practitioners.
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