GLOBAL AI DATA TRAINING
Benchmarking to Optimize LLM Performance
To help organizations ensure their Large Language Models deliver accurate, relevant, and reliable results, we conduct expert-led benchmarking and annotation—evaluating performance against competitors and aligning outputs with user and business goals.
Benchmarking for LLM Performance Evaluation
Expert benchmarking and annotation to help LLMs perform smarter, faster, and more in line with user needs
One of the specialized services offered by DATAmundi is benchmarking for LLM (Large Language Model) performance evaluation. Our clients often approach us with specific questions about how their LLMs are functioning, how they are perceived, and how they stack up against competing models.
Measuring More Than Just Performance
Benchmarking and LLM involve more than just running standard tests. It demands both technical expertise and a deep understanding of data annotation, especially as it relates to GenAI prompt evaluation. We also need to assess how other LLMs, such as ChatGPT, Llama, or Claude (Anthropic), respond to the same prompts for effective comparison.
Achieving results that align with both our clients’ objectives and ethical AI standards requires:
- Careful prompt review and analysis
- Evaluation across multiple dimensions such as factual accuracy, semantic quality, relevance, and more
- Iterative prompt finetuning to support potential LLM retraining
Human-in-the-Loop Makes the Difference
To help clients benchmark their LLMs—especially in specialized sectors like medical or financial services—we engage a global network of subject matter expert (SME) freelancers. For more general use cases, we rely on our experienced freelance linguists.
These experts use pre-defined prompts to interact with various LLMs. Each model’s responses are then evaluated against a standardized, multidimensional criteria set, ensuring both objectivity and relevance.
All activities are centralized via our proprietary platform, AIDA Hub, which enables:
- Efficient loading and tracking of model data and evaluations
- Side-by-side analysis of multiple LLM systems
- Delivery of high-quality, actionable insights that drive model optimization
More Capable and Aligned LLMs
Through rigorous technical benchmarking and expert annotation, we equip our clients with the insights and tools needed to improve their LLMs.
This has enabled them to:
- Finetune models more effectively
- Improve overall performance and reliability
- Align model output more closely with end-user expectations and business goals
Our Data Services
We specialize in collecting and preparing a wide range of data types essential for AI development, including text data for Natural Language Processing (NLP), speech and audio, image, video, and multimodal data that combines multiple formats.
Learn more about our services on our Data Services page.
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