UpTrain (YC W23) – open-source tool to evaluate LLM response quality
Hello, we are Shikha and Sourabh, founders of UpTrain(YC W23) - an open-source tool to evaluate the performance of your LLM applications on aspects such as correctness, tonality, hallucination, fluency, etc. The Problem: Unlike traditional Machine learning or Deep learning models where we always have a unique Ground Truth and can define metrics like Precision, Recall, accuracy, etc. to quantify the model’s performance, LLMs are trickier and it is very difficult to estimate if their response is correct or not. If you are using GPT-4 to write a recruitment email, there is no unique correct…
UpTrain (YC W23) – open-source tool to evaluate LLM response quality launched on August 22, 2023 with 12 votes, #1,612 of 4,347 launches that month and more than 75% of that year's launches.
In plain words
UpTrain is an open-source tool that evaluates the quality of large language model responses across dimensions like correctness, tonality, hallucination, and fluency. It is designed for developers building LLM applications who need to compare different models, prompts, and configurations to find the best performing combination. Unlike traditional machine learning models where ground truth exists, LLMs require specialized evaluation methods, and UpTrain automates this assessment process.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hello, we are Shikha and Sourabh, founders of UpTrain(YC W23) - an open-source tool to evaluate the performance of your LLM applications on aspects such as correctness, tonality, hallucination, fluency, etc. The Problem: Unlike traditional Machine learning or Deep learning models where we always have a unique Ground…
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