UpTrain

UpTrain: The Full-Stack LLMOps Platform to Eliminate Guesswork and Scale AI Confidently

What is UpTrain? UpTrain is a comprehensive LLMOps platform designed for all your production needs, from evaluation to experimentation to improvement. It helps developers, product managers, and business leaders build production-grade LLM applications the right way.

How does UpTrain work?

UpTrain offers a range of features to ensure the reliability, efficiency, and quality of your LLM applications:

• Diverse Evaluations: Over 20 predefined metrics and the ability to define custom metrics within UpTrain’s extendable framework.
• Systematic Experimentation: Quantitative scores help make informed decisions, eliminating guesswork and subjectivity.
• Automated Regression Testing: Automated testing for each prompt, configuration, or code change across a diverse test set, with prompt versioning for easy rollbacks.
• Root Cause Analysis: Isolates error cases and identifies common patterns to facilitate faster improvements.
• Enriched Datasets: Helps create diverse test sets and enrich existing datasets by capturing edge cases encountered in production.

Key Features of UpTrain:

• Enterprise-Grade Tooling: Helps iterate faster and stay ahead of competitors.
• Single-Line Integration: Can be integrated in less than 5 minutes with a single API call.
• High-Quality Evals: Innovative techniques generate scores with high agreement with humans (>90%).
• Cost Efficiency: Provides high-quality and reliable scoring at a fraction of the cost.
• Remarkably Reliable: Can handle 100, 10k, or millions of rows without any failures.
• Open-Source Core: The core evaluation framework of UpTrain is open-source.

Why Choose UpTrain?

UpTrain addresses key challenges in LLM application development, including:

• Evaluation: Ensuring the quality and reliability of LLM outputs.
• Experimentation: Systematically testing and comparing different prompts, models, and configurations.
• Monitoring: Tracking the performance of LLM applications in production and identifying issues.
• Improvement: Providing insights and tools to improve the accuracy, efficiency, and safety of LLM applications.

Who is UpTrain For?

UpTrain is designed for:

• Developers: Build, debug, and improve LLM applications easily.
• Product Managers: Ensure the performance of LLM applications in production.
• Business Leaders: Scale AI confidently with reliable and high-quality LLM applications.

Guardrails that your LLM needs

UpTrain offers precision metrics to understand your LLMs:

• Task Understanding: Response relevancy, Structural Integrity, Completeness, Conciseness
• Context Awareness: Retrieval Quality, Hallucinations, Context Utilization
• Language Features: Coherence, Toxicity, Fairness & Bias, Interestingness, Emotion & Tone
• Custom: Guideline Adherence, Presence of certain keywords etc.
• Safeguard: System Prompt Leak, Jailbreak, Code Leak

How to use UpTrain?

1. Integrate: Integrate UpTrain with a single API call in less than 5 minutes.
2. Evaluate: Use predefined or custom metrics to evaluate the performance of your LLM applications.
3. Experiment: Systematically test and compare different prompts, models, and configurations.
4. Monitor: Track the performance of your LLM applications in production and identify issues.
5. Improve: Use UpTrain's insights and tools to improve the accuracy, efficiency, and safety of your LLM applications.

UpTrain provides a single platform to solve diverse needs, whether you're focused on improving task understanding, ensuring context awareness, or safeguarding against potential risks.

By using UpTrain, you can improve what you can't measure and pull ahead of competitors by using UpTrain's full-stack LLMOps platform.