LLM Sandbox
An all-in-one environment for LLM data curation, prompt evaluation, and performance tracking.
Tags:Developer Tools General Productivity Models & Directories Open Source Models & Directories Research & AnalysisAI Data Mining AI Developer Tools AI For Data Analytics AI Productivity Tools Large Language Models (LLMs) Open Source AI ModelsWhat is LLM Sandbox?
LLM Sandbox is an all-in-one environment to detect hallucinations, evaluate your prompts, select the right data to fine tune your models and track performance version after version. It focuses on open source data curation & management for Computer Vision, NLP and LLMs, helping users curate valuable unlabeled data to maximize domain coverage and model improvement.
How to use LLM Sandbox?
Register your metadata to Dioptra, diagnose model failure modes, curate valuable unlabeled data with active learning miners, and integrate with your labeling and retraining stack using Dioptra’s APIs.
LLM Sandbox’s Core Features
Hallucination detection Prompt evaluation Data selection for fine-tuning Performance tracking Open Source data curation & management Active learning miners
LLM Sandbox’s Use Cases
- Improve model accuracy on hard cases
- Shorten training cycles
- Reduce labeling costs
