LLM Benchmarking

At IngestAI, we understand the importance of predictability and reliability in the field of artificial intelligence (AI). That's why we have developed Deepmark AI, a benchmarking solution that enables assessment of the performance of large language models (LLMs) on both intrinsic and task-specific metrics. Deepmark AI helps diagnose inaccuracies and performance issues, allowing to identify the most reliable and cost-effective generative AI model for your specific use cases. Our technology provides comprehensive assessments on metrics such as accuracy, latency, bias, relevance, and cost analysis, empowering organizations to make data-driven decisions when it comes to AI model selection.

By incorporating Deepmark AI into your GenAI development process, organizations can benefit from predictability and cost-effectiveness. Our platform prioritizes these aspects by providing reliable assessment metrics, cost estimations, and optimization recommendations. With a data-driven approach, organizations can move away from relying solely on intuition and make informed decisions based on rigorous assessment data. This ultimately enhances the overall quality of AI applications, ensuring optimal performance and user satisfaction.