Algomax: Enhancing the Efficiency of Language Models
Algomax is an evaluation platform that is designed to optimize the efficiency and effectiveness of Large Language Models (LLMs) and Retrieve and Generate (RAG) models. By providing streamlined evaluation of model output, Algomax accelerates the development process and provides developers and researchers with in-depth insights into qualitative metrics.
Precise and Tailored Evaluations
Algomax utilizes an LLM-based engine to capture the intricacies of output data and ensure accurate assessments. The platform offers interpretive metrics and visualizations that provide a clear understanding of model behavior, enabling precise and tailored evaluations.
Constructive Feedback for Improvement
With the ability to provide constructive feedback, Algomax aids in significantly improving the capabilities of LLMs and RAGs. The platform evaluates metrics such as hallucination, correctness, completeness, harmfulness, and repetition, supporting data-driven improvements.
In real use cases, Algomax can help researchers and developers evaluate the performance of their language models and identify areas for improvement. It can also be used to compare the performance of different models and select the best one for a specific task.
