AI innovation is moving at breakneck speed and large language models (LLMs) in particular have taken the business world by storm. Are you keeping up?
Whether you’re looking to refine your current LLM strategy or build something from the ground up, Quansight is uniquely qualified to assist thanks to decades of experience within the Python data ecosystem including deep involvement in PyTorch.
If you’re interested in bringing LLMs to your business, but you’re not sure where to apply them or how to get started, we can help. It starts by clearly understanding where LLMs can provide maximum benefit.
Have you started to build an LLM system but are concerned you’re headed in the wrong direction? We will assess your needs against the tools and models out there and guide you toward the best approach.
Whether you’re wrestling with containers and cloud configuration or frustrated with poor model performance, we have the expertise needed to pick up the speed.
Is your LLM system providing poor quality answers to questions? From data cleaning and governance to prompt engineering we will enhance the performance of what’s already in place.
Develop LLM-based models and apps from proof-of-concept through production, including:
Model building, testing, validation, and evaluation
LLM selection, configuration, application, retraining/fine-tuning, dynamic prompt engineering and PEFT/LoRA
Scale-up, automation, and transition to production
MLOps & Data/Platform Engineering using Cloud or On-Prem Infrastructure
Aggressive optimization of PyTorch models. We have PyTorch maintainers on staff and have been trusted by Meta’s core development team since 2019.
We recently released Ragna, an open source RAG-based AI orchestration framework designed to scale from research to production. Ragna allows individuals and organizations to explore the power of Retrieval-Augmented Generation (RAG) based AI tools. Learn more. >>
Quansight is a consulting firm that solves complex, data-related problems by leveraging the open source software at the foundation of machine learning and AI. Our team consists of core developers and maintainers of open source projects across the Python data ecosystem including PyTorch, NumPy, SciPy, CPython, SymPy, & Pandas.
