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Used for

    Prompt optimizationGenerative AI application developmentRegression testingGenerative AI app developmentRAG pipeline debugging and evaluationModel prompt optimizationAI model version controlUnified API management for third-party modelsModel managementAI service management

Features

    Regression testingUnified API for model accessCustomizable evaluation modelsRAG Workbench for debuggingAuto-Eval for hallucination detectionAIConfig for prompt versioningPrompt optimization playgroundService Mesh for AI accessAdmin controls and safety guardrailsCost and usage trackingDebug and evaluate RAG pipelines with WorkbenchVersion control and optimize prompts with AIConfigUnified API gateway for model inference and monitoringModel versioning and managementDetection of hallucinations with targeted evaluator modelsOpen-source framework managing prompts as YAML configsAI Service Mesh for third-party model accessFaithfulness evaluators customized with application dataStreamlined model swapping and integrationAdmin controls and safety guardrails for AI accessDebug and evaluate RAG systems with WorkbenchPersonalized evaluation models and regression testingFaithfulness evaluators that are cost-effective and customizableVersion control and prompt optimization with AIConfigUnified API for model inference, routing, and monitoringAI Service Mesh for streamlined access to generative AIAdmin controls and safety guardrails for AI managementVersion management for prompts using YAML configsOpen-source framework for decoupling model logicCompatibility with text, image, and audio modalities

What is LastMile used for?

LastMile is used for taking generative AI prototypes to production by providing tools for debugging, evaluation, and optimization of RAG pipelines, along with model management and monitoring.

How does LastMile help with AI model versioning?

LastMile provides the AIConfig tool which allows for version control and prompt optimization, enabling smooth model version management.

What is the Workbench feature in LastMile?

Workbench is a tool within LastMile that provides personalized evaluation models, regression testing, and improves RAG application quality for faster production.

Can LastMile detect hallucinations in AI models?

Yes, LastMile uses small, targeted evaluator models to detect hallucinations and other issues, helping ensure model faithfulness.

What is AI Service Mesh?

AI Service Mesh is a unified API gateway in LastMile that handles model inference, routing, and monitoring, providing streamlined access to generative AI models with admin controls.

Who can benefit from using LastMile?

LastMile is beneficial for AI developers, data scientists, machine learning engineers, software developers, and tech startups focusing on generative AI applications.

Is there a framework for managing prompts in LastMile?

Yes, LastMile offers an open-source framework called AIConfig, which manages prompts as YAML configs for efficient prompt and model parameter management.

How does LastMile support AI model integration?

LastMile supports seamless model integration by allowing easy swapping of model providers and managing model-specific logic separately from application code.

What are the admin controls in AI Service Mesh?

AI Service Mesh provides admin controls for managing approved models, tracking costs, monitoring usage, and enforcing rate limits to ensure safe and efficient AI access.

Can LastMile be used for regression testing?

Yes, LastMile includes features like the Workbench that supports regression testing to improve the quality and efficiency of RAG applications.

What is LastMile?

LastMile is a developer platform for building and optimizing generative AI applications, providing tools for debugging, evaluating, and managing RAG pipelines.

How does LastMile help in AI development?

It offers features like Workbench for debugging, AIConfig for prompt optimization, and a unified API for managing third-party models.

Who can benefit from using LastMile?

AI developers, software engineers, and data scientists can benefit from using LastMile for efficient AI application development.

What is Workbench in LastMile?

Workbench is a tool within LastMile for personalized evaluation models, regression testing, and debugging of RAG systems.

Can LastMile handle multiple types of data?

Yes, LastMile is compatible with text, image, and audio modalities.

What is AIConfig used for?

AIConfig is used for version control and optimization of prompts, managing them as YAML configs.

How does LastMile ensure AI safety?

It provides admin controls and safety guardrails through its AI Service Mesh.

What makes LastMile's evaluators cost-effective?

The faithfulness evaluators outperform GPT-4 and run at a fraction of the cost.

Does LastMile support open-source frameworks?

Yes, it supports an open-source framework for decoupling model-specific logic from application code.

What is the AI Service Mesh?

AI Service Mesh is a unified API gateway within LastMile for accessing and managing third-party AI models with admin controls.

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