LLMs training
Our experts will train state-of-the-art LLMs on client data.The client's data never leaves their own environment.
We are a leading language model and AI company that helps enterprises train and deploy high-quality specialized AI models using their own data. Our mission is to simplify this process, unlocking the power of proprietary data for enterprise innovation with generative AI models. Our expertise is in the following areas:
Discuss client goals, ROI, data, and infrastructure. We'll respond with an offer.
We install and configure the required software for LLMs training.
Our team will train, evaluate and test LLMs on client's data in client's own environment.
Our team will deploy the newly trained model for production use.
Our team establishes monitoring tools for seamless performance tracking of LLMs.
Our experts train LLMs on client data, ensuring it remains within their environment when necessary.
In order to address the optimization challenge in deploying LLMs, we conduct experiments with various techniques, including pruning, quantization, and knowledge distillation.
In order to address the difficulties associated with implementing large language models (LLMs) in real-world applications, we create LLMOps pipelines. These pipelines are designed to guarantee a dependable, scalable, and secure deployment process, while also mitigating problems related to changes in the model or data over time. We aim to utilize established MLOps frameworks.
To effectively maintain LLMs over time, we implement robust processes that involve continuous performance monitoring, prompt issue resolution, and regular model updates based on new data. Automation plays a key role in streamlining these processes. We leverage automated model re-training tools like MLflow, Kubeflow, and SageMaker pipelines to simplify maintenance and minimize manual intervention.
We can help you identify feasible usages of machine learning in your business. We identify automations that will increase the value of your company.
