LastMile AI
Ship production-ready LLM applications with automated evaluation
Target Audience
- AI/ML engineers shipping production LLM apps
- Enterprise teams requiring compliant AI systems
- QA engineers specializing in generative AI
Hashtags
Overview
LastMile AI helps developers debug, test, and improve AI applications throughout their lifecycle. It provides specialized tools like AutoEval for creating custom quality metrics and alBERTa small language models for efficient performance checks. The platform focuses on keeping your AI outputs reliable and safe with real-time guardrails, while letting enterprises maintain full data control through private cloud deployment.
Key Features
AutoEval
Create custom evaluation metrics tailored to your AI app
alBERTa
Compact 400M-parameter model for fast quality scoring
Real-time Guardrails
Block harmful/unwanted outputs during app runtime
VPC Deployment
Keep sensitive data private with on-premises hosting
Synthetic Labeling
Generate training data using LLM judges + human review
Use Cases
Debug LLM application outputs
Set custom safety guardrails
Monitor AI performance metrics
Evaluate RAG system quality
Fine-tune custom evaluators
Pros & Cons
Pros
- Specialized small models for efficient evaluation tasks
- Full control over data privacy and deployment
- Combines automated & human-labeled quality checks
- Real-time content moderation capabilities
Cons
- Requires technical expertise for full customization
Frequently Asked Questions
What types of AI applications benefit most from LastMile?
Ideal for RAG systems, multi-agent AI apps, and any LLM-powered application requiring reliability monitoring.
How does alBERTa differ from large language models?
alBERTa's 400M parameter size enables faster, cheaper evaluations while maintaining accuracy for specific judgment tasks.
Can I use my own data with LastMile?
Yes, you can upload and manage application trace data while maintaining complete data control through VPC deployment.
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