Trismik
Compare 50+ LLMs on your own data for quality, cost, and speed.
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Trismik āĻā§?
Trismik is an AI model selection and evaluation platform designed to help developers and teams choose the best Large Language Model (LLM) for their specific use cases. By using real data instead of generic benchmarks, it allows users to compare over 50 models side-by-side based on quality, cost, and speed. The platform features 'QuickCompare' for rapid data analysis and 'Ziggy,' an AI copilot that assists with prompt refinement and evaluation setup, effectively acting as an AI decision layer for production-ready applications.
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- QuickCompare analysis for evaluation data
- Ziggy AI evaluation copilot
- Comparison of 50+ AI models
- Support for CSV, JSON, and Hugging Face datasets
- Query difficulty analysis (Easy, Medium, Hard)
- Quality, Speed, and Cost optimization trade-offs
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To use Trismik, upload your evaluation data in CSV, JSON, or Hugging Face formats. Use the QuickCompare tool to run evaluations across multiple AI models. Review the side-by-side analysis of performance, cost, and speed to identify the optimal model for your task, then use Ziggy, the AI copilot, to refine prompts and interpret the results.
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- Selecting the best LLM for a specific production use case
- Comparing performance of different models on custom datasets
- Optimizing inference costs by finding cheaper model alternatives
- Refining prompts with guided AI assistance
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