The most experienced foundational model training company
Performance
Match evaluation frameworks to intended outcomes, gain actionable insights on your model’s strengths and weaknesses, and improve performance with comprehensive evaluation and analysis.
Real Insights
Comprehensive evaluation of large language models is key for unlocking its full potential and ROI.
Manovega proven methodologies and benchmarking frameworks to accurately assess effectiveness, reliability, and scalability across various business applications—ensuring your LLM performs at the highest standards.
Turn evaluation insights into real performance gains.
approach
Use Manovega expertise in training the highest-quality foundation models to thoroughly evaluate your LLM’s capabilities.
capabilities
Ensure your LLM excels in performance, accuracy, and reliability with several evaluation capabilities. With our expert guidance, your model will meet the highest standards and deliver exceptional results in real-world applications.
Accuracy and precision testing
Ensure your LLM delivers accurate and precise responses across various tasks. We rigorously test model outputs using benchmark datasets and real-world scenarios to meet the highest accuracy standards.
Efficiency and scalability assessment
Evaluate your LLM’s processing speed and resource usage. Analyze scalability with increasing data sizes and usage demands, ensuring efficiency under heavy loads.
Robustness and reliability analysis
Assess your LLM’s resilience to diverse and challenging inputs. Stress-test with edge cases and adversarial examples to guarantee reliable and robust performance.
Performance benchmarking
Compare your LLM’s performance against industry standards and competitor models. This includes running standardized tests to measure various performance metrics such as speed, accuracy, and memory usage.
User interaction and usability testing
Evaluate your LLM’s ease of use and effectiveness in real-world applications. This involves gathering feedback from end-users to assess the model’s usability, interface design, and overall user experience.
Compliance and security auditing
Ensure your LLM adheres to industry regulations and security best practices. Audit your model’s data handling, privacy measures, and security protocols to protect sensitive information and adhere to industry regulations.
and evolution starts here
Model assessment and strategy
Fully-managed large language model training
LLM data and training tasking
Scale on demand
Get continuous improvement and performance. Talk to one of our solution architects today.
LLM training and development
Empower your research teams without sacrificing your budget or business goals. Get our starter guide on strategic use, development of minimum viable models, and prompt engineering for a variety of applications.
“Manovega ability to rapidly scale up global technical talent to help produce the training data for our LLMs has been impressive. Their operational expertise allowed us to see consistent model improvement, even with all of the bespoke data collection needs we have.”
World’s leading AI lab.
questions
high-quality LLMs.
Our large language model evaluation services are comprehensive and tailored to your model’s specific outcomes. It includes deep model evaluation using optimized exploration algorithms, benchmark performance analysis against industry standards, and human-in-the-loop testing to integrate research and community findings. Our approach ensures a precise assessment of your model’s performance, providing actionable insights into its strengths and weaknesses.
We ensure high performance and accuracy through rigorous testing of model outputs using benchmark datasets and real-world scenarios. This includes accuracy and precision testing across various tasks, performance benchmarking, usability testing, and compliance and security auditing to evaluate model responses for their effectiveness, reliability, and scalability in real business applications.
Human-in-the-loop testing involves integrating human feedback into the evaluation process, allowing a structured large language model assessment of already-deployed models based on real user interactions and community findings from diverse data sources. It helps identify and address practical issues that automated tests might miss, ensuring the model performs effectively in real-world applications.
We address efficiency and scalability issues by evaluating your LLM’s processing speed, resource usage, and scalability under increasing data sizes and usage demands. This includes stress-testing with edge cases and adversarial examples to guarantee robust performance.
We handle compliance and security by auditing the model’s data handling, privacy measures, and security protocols. This ensures your LLM adheres to industry regulations and security best practices, protecting sensitive information and maintaining compliance with legal standards. This process includes thorough evaluations to safeguard against potential vulnerabilities.
Yes, we use proprietary evaluation tools optimized for comprehensive LLM assessment. Our tools coordinate human focus areas with automated exploration algorithms, providing deep insights into model performance. These tools offer precise and actionable recommendations to enhance your LLM’s capabilities and ensure it meets the highest standards.
