LastMile AI

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Introduction: LastMile AI is a full-stack developer platform built to debug, evaluate, and optimize AI applications. It provides a suite of tools for fine-tuning custom evaluator models, implementing guardrails, and monitoring application performance. By offering comprehensive evaluation capabilities for RAG and multi-agent systems, the platform helps transition GenAI development into a more systematic, data-driven process. Key features include secure AI deployment, synthetic data generation, fine-tuning for evaluation models, and real-time evaluation with high-speed inference. Additionally, LastMile AI includes experiment management and online guardrails for ongoing monitoring and risk mitigation.

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LastMile AI Product Information

What is LastMile AI?

LastMile AI is a full-stack developer platform designed to debug, evaluate, and improve AI applications. It offers tools for fine-tuning custom evaluator models, setting up guardrails, and monitoring application performance. The platform aims to make GenAI development more science than art by providing comprehensive evaluation tools for RAG and multi-agent AI applications. It supports deploying AI securely, generating synthetic data, fine-tuning evaluation models, and real-time AI evaluation with blazing-fast inference. LastMile AI also provides experiment management tools and online guardrails for continuous monitoring and risk mitigation.

How to use LastMile AI?

To use LastMile AI, developers can install the LastMile library using pip or yarn. You can then utilize the AutoEval class to assess your data using either built-in or custom metrics. The platform provides a complete toolkit for fine-tuning evaluator models, configuring guardrails, and monitoring the performance of your AI applications.

LastMile AI's Core Features

AutoEval: Comprehensive evaluation platform for AI applications
Customizable evaluator models
Synthetic data generation
Real-time AI evaluation with fast inference
Experiment management tools
Online guardrails for continuous monitoring

LastMile AI Use Cases

#1 Evaluating RAG applications

#2 Evaluating multi-agent AI applications

#3 Internal benchmarking of AI models

#4 Online monitoring of AI application performance

#5 Deploying AI securely within a private virtual cloud

#6 Fine-tuning evaluation models tailored to specific use-cases

FAQ from LastMile AI

What is AutoEval? +

AutoEval is the comprehensive evaluation platform within LastMile AI that provides the necessary tools to test, evaluate, and benchmark your AI applications.

How can LastMile AI help with deploying AI securely? +

LastMile AI enables you to deploy AutoEval within your own Private Virtual Cloud, ensuring you maintain full control over your data, infrastructure, and security to meet strict compliance standards.

What is the purpose of synthetic data generation in LastMile AI? +

Synthetic data generation automates the labeling process and reduces costs by creating diverse, high-quality labels, which helps you train robust, private AI evaluation models more efficiently.

How does LastMile AI enable real-time AI evaluation? +

AutoEval features a high-speed inference infrastructure built for real-time AI applications, allowing you to deploy your evaluation models to achieve ultra-low latency.

LastMile AI Pricing

Free

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LastMile AI

LastMile AI Product Information

What is LastMile AI?

How to use LastMile AI?

LastMile AI's Core Features

LastMile AI Use Cases

FAQ from LastMile AI

LastMile AI Pricing

Free

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