One-Stop Shop for LLM Testing & Evaluation with Workforce and Software
Assess the performance of a given Large Language Model (LLM). Identify errors, biases, vulnerabilities, and undesirable model behaviour. Compare Large Language Models with each other to pick the best option. Review model performance to draw conclusions, and iterate easily. Automate at will. Outsource to expert workforce to scale your operations.
Mark S.
Enterprise (>1000 employees)
Suparna T.
Mid-market (51-1000 employees)
Clear Evaluation: Identify Model Errors and Biases
Evaluating LLMs is complex. Use our customizable interface to evaluate the responses of a given LLM. Setup evaluation criteria such as completeness or hallucination based on your use-case. Assess with automatic evaluation. Review with with human based evaluation. Identify regressions or high-performing areas. Compare one LLM against others such as Bert, Llama or GPT-4.
Expert Testing: Identify Vulnerabilities, and Undesirable Model Behavior
Testing is a critical part of building robust and safe AI applications. Red teaming seeks to elicit undesirable model behavior as a way to assess safety and vulnerabilities. Combine human experts and Kili Technology to adversarially test your model across a diverse threat surface area.
Seamless Integration: Integrate Evaluation & Test in Your Notebook
When it comes to LLMs, glue code is the main barrier to implementing a data-centric AI loop. With Kili technology, starting an evaluation project, fine-tuning GPT on labeled data, evaluating the result, all becomes trivial.
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