iSmart: Smarter Ways to Test Smart Models
iSmart is a powerful, comprehensive solution designed to elevate the evaluation of Large Language Models (LLMs).
iSmart brings two powerful capabilities to LLM evaluation. iSmart combines a Multi-Prompt Generator, which crafts 30+ diverse prompts from content like manuals or chat logs to challenge LLMs on comprehension, reasoning, and adaptability, with an LLM-as-a-Judge framework that evaluates responses across accuracy, hallucination, clarity, completeness, and consistency. The result? A structured, objective, and scalable approach to LLM evaluation.
Breaking Down the Barriers of LLM Evaluation with iSmart
iSmart powers a variety of essential use cases, including Summarization Validation, Content Consistency Analysis, Hallucination and Bias Detection, Question-Answering Evaluation, and Content Categorization, ensuring robustness and reliability before deployment into production environments.
Multi-Prompt Generator
LLM-as-Judge Framework
Multi-Prompt Generator
Problem
As enterprises integrate LLMs into diverse use cases like customer support, content creation, and decision-making systems, they often face inconsistent performance and undetected hallucinations. Relying solely on human evaluation proves inefficient in both scale and precision.
Solution
iSmart overcomes this by automating large-scale, diverse prompt generation, rigorously testing LLMs across a wide range of scenarios for a comprehensive evaluation.
LLM-as-Judge Framework
Problem
Human validation of LLMs can be slow and limited to small sample checks, making it inadequate for large-scale, thorough assessments.
Solution
iSmart resolves this by employing an AI-powered, standardized evaluation framework, using an LLM-as-judge to assess outputs across key dimensions—accuracy, clarity, completeness, consistency, and hallucination—delivering a scalable, objective approach to model validation.
The iSmart Advantage
Revolutionizing LLM Validation, The iSmart Way
Automated Stress Testing for Robust Models
Automatically stress-tests LLMs using 30+ diverse prompt types to identify reasoning and response quality gaps.
AI-Driven Judgment for Objectivity
Leverages AI-powered evaluation to assess accuracy, clarity, completeness, consistency, and hallucination, minimizing manual review.
Streamlined, Scalable Validation
Simplifies the generation, validation, and response capture process, ensuring efficient and repeatable model assessments.
Actionable Insights for Continuous Improvement
Enables seamless comparisons across model versions and fine-tuning strategies with scalable, actionable insights for ongoing optimization.
iSmart Across Industries
Enabling Quality LLM Validation Everywhere
iSmart’s prompt generation and evaluation framework benefits industries using generative AI, from finance to healthcare and media. The configurable templates and scoring logic of iSmart ensure alignment with domain-specific standards for reliable enterprise LLM deployment.
Ensure the accuracy and reliability of summaries in financial documents with iSmart's prompt generation and evaluation capabilities.
Success Stories
Real Stories, Real Impact
iSmart's AI-Driven Leap: Elevating Decision-Making Efficiency with Validated LLMs for a Global Logistics Platform
iSmart validated LLMs for a leading global logistics platform, significantly enhancing the quality and accuracy of AI-generated insights. This innovation has transformed decision-making efficiency, setting a new standard for operational excellence.
Elevating Digital Media Quality: Fine-Tuning LLM Summarization for Error-Free Content with iSmart
Indium’s iSmart empowered a prominent digital media company to evaluate and fine-tune LLM summarization models, significantly enhancing content reliability and minimizing errors in AI-generated material, ultimately helping them deliver more accurate, trustworthy, and reader-friendly content at scale.