Generative AI || Agentic AI || Evaluation of Agentic AI
Research Services on Generative AI
Empower your organization with cutting-edge insights and transformative AI capabilities through our Research as a Service (RaaS) offering. We provide a flexible, scalable, and comprehensive approach to generative AI research, allowing you to innovate without the constraints of traditional R&D.
Benefits of Our Research As A Service
Accelerate Innovation
Accelerate Innovation
Accelerate Innovation
Access the latest AI advancements without the overhead of building in-house research teams.
Cost Efficiency
Accelerate Innovation
Accelerate Innovation
Reduce research costs by leveraging our extensive infrastructure and expertise.
Expert Collaboration
Accelerate Innovation
Expert Collaboration
Partner with world-class researchers and data scientists to solve complex AI challenges.
Evaluation of Agentic AI
Evaluating Agentic AI requires objective, scalable, and efficient methods. Using an Agent as a Judge, AI-driven evaluators assess model responses based on accuracy, coherence, and relevance. This automated approach ensures consistency, reducing human bias while enabling large-scale comparisons. The agent scores outputs against predefined benchmarks or gold-standard answers, providing insights into model performance. By leveraging reinforcement learning, these AI judges continuously refine evaluation criteria. This method accelerates LLM development, ensuring robust, fair, and transparent assessments. Organizations can adopt agent-based evaluation for real-time monitoring, enhancing the reliability of AI-generated content across industries.
Evaluation of LLM
About Our Research on Evaluation of LLM
At Apollonius Computational Business Solutions, we are at the forefront of innovation, leveraging the power of Generative AI to tackle some of the most critical unsolved problems in Statistics, Optimization Engineering, and Theoretical Physics. Our mission is to push the boundaries of what Large Language Models (LLMs) can achieve in scientific research, enhancing their accuracy, reasoning capabilities, and utility for researchers worldwide.
Our Mission
Our primary goals include:
Solving critical unsolved research problems using state-of-the-art LLMs, focusing on domains like statistics, optimization engineering, and theoretical physics.
Developing comprehensive evaluation benchmarks to assess the accuracy and reasoning capabilities of LLMs, ensuring their outputs meet the highest standards for scientific reliability.
Empowering scientists and engineers with AI tools that support multi-step reasoning and complex problem-solving.
Our Approach
We have identified two main challenges in this endeavor:
Evaluation and Benchmarking: Researchers need precise ways to measure and evaluate LLM capabilities across different stages and tasks in the scientific research process. This helps guide the integration of LLMs with other tools and provides valuable benchmarks for developers looking to enhance their systems.
Trust and Transparency: Just like other scientific tools, LLM outputs need to be trustworthy. We aim to establish a rigorous, accurate, and community-approved evaluation methodology to assess the reliability of AI-generated results.
Our Evaluation Framework
To achieve these goals, we focus on evaluating LLMs across several critical dimensions:
Background Knowledge: Assessing the model’s foundational understanding of scientific principles.
Algebraic Mistakes: Identifying and minimizing calculation and formulation errors.
Logical Mistakes: Ensuring coherent, consistent, and contextually accurate reasoning.
Hallucinations: Reducing the generation of incorrect or fabricated information.
Additionally, we emphasize improving reasoning capabilities through:
Training-Time Methods for Enhanced Reasoning
Inference-Time Methods for Improved Reasoning
Verifiers and Tool Usage for Error Detection and Correction
Pioneering the Future of AI-Driven Research
We are committed to empowering researchers & engineers with the tools they need to push the limits of human knowledge and make profound discoveries in their fields.