LLM Benchmarking Solutions
Partner with Invenci to navigate the LLM landscape and secure a competitive edge.
Don’t wait for the future to happen – be a part of shaping it with Invenci.
At Invenci, we specialize in testing and evaluating different LLMs to identify effective solutions tailored to business needs.
As part of a custom LLM buildout tailored to your business needs, we back it up with benchmarking against your desired business outcome. Our specialty includes but is not limited to the benchmarks below…
HumanEval
The HumanEval LLM benchmark is a dataset comprising 164 hand-crafted programming challenges designed to evaluate the code generation capabilities of large language models.
MATH
The MATH LLM benchmark is a comprehensive dataset of 12,500 challenging competition mathematics problems designed to test the problem-solving.
GPQA
The GPQA benchmark is a challenging dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry. It’s designed to be Google-proof, meaning the questions are extremely difficult and require graduate-level knowledge to answer.
MMLU
The Massive Multitask Language Understanding benchmark is an evaluation framework designed to assess LLM performance across a range of natural language understanding. It covers 57 subjects across STEM, humanities, social sciences, and more, testing both world knowledge and problem-solving ability.
Discover more you can do with LLM Benchmarking.
Why Invenci?
Beyond mere performance metrics, Invenci’s benchmarking also delves into operational considerations such as integration capabilities, maintenance requirements, and cost-effectiveness. This holistic approach guarantees not only that you select the best-performing model but also that it aligns perfectly with your existing technological infrastructure and budget constraints. Partner with Invenci to navigate the complex landscape of LLMs with confidence and precision, securing a competitive edge in your industry.
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From Benchmarking to Deployment
At Invenci, our Large Language Model benchmarking is a critical component of a broader suite of services designed to select, tune, and deploy the optimal LLM for your specific business needs. This process begins with benchmarking to evaluate and compare the performance of various models based on essential criteria such as accuracy, efficiency, and scalability. Following selection, we fine-tune the chosen model to tailor its capabilities precisely to your data and operational requirements, ensuring maximum effectiveness. The final phase involves seamlessly integrating and deploying the LLM into your existing systems, complete with ongoing support and optimization. By handling every step from benchmarking to deployment, Invenci provides a turnkey solution that empowers your business to leverage the full potential of AI technology.
Pioneers in building the AI community.
Invenci strongly believes that the future of AI is open source. We move ourselves and our clients forward by giving back, whether that’s in the form of being active with contributions to open source software, or mentoring ambitious students at top schools.
