Our offer

Perelyn supports your LLM application from concept to rollout with customised LLMOps strategies, efficient model development and cost-effective deployment, including customisation, integration and monitoring.

→ Advice on strategies and best practices for dealing with LLMs

→ Adapting development operations to LLMs

→ Evaluation and testing specifically for LLM applications

→ Deploy and scale LLMs in production environments

→ Integration and monitoring of LLM applications into systems and workflows

→ Data protection and Compliance when using LLMs

→ Monitoring and managing model performance in real time

Get started now!

In order to successfully advance your LLMOps project, we first prepare a needs and “Maturity Assessment”. In a short and targeted survey, we record your specific challenge and the current state of technical development in the company (GDPR-compliant). In a report, we outline our proposed LLMOps strategy and then provide you with a service offer.

How we work

Partnerships with leading technology companies are used to the advantage of our customers and to make our services even better. In this way, we improve the customer experience, optimise the productivity of business processes, reduce costs and increase the security of our solutions. Perelyn is a certified Amazon Web Services (AWS) partner and part of the NVIDIA Inception Program. We have repeatedly proven our expertise in terms of technological knowledge and innovative potential.

LLMOps includes strategies and techniques for deploying, monitoring, maintaining, and scaling Large Language Models while ensuring that they are used ethically and effectively across various applications.

Experts

“LLMOps enables more precise control and monitoring of LLM applications, for better results and verifiable performance.”

Tech Stack

MLOps Platforms

Arize, Phoenix Arize, MLflow

Deep Learning Frameworks

LangChain, llamaIndex, Transformers, PyTorch, Tensorflow, dSpy

Deployment

Cloud (AWS, Azure, GCP), Docker & Kubernetes, On-Premise, Huggingface, Databricks

Evaluation

LangSmith, DeepEval, TruLens, Traceloop

Programming Languages

Python, Java, Golang, C++

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