Designing, constructing, and integrating Custom Large Language Models can be a complex process. We assist you in making informed technical choices, crafting an optimal Custom LLM solution, and seamlessly integrating it into your business workflows. Initially, we focus on comprehending the unique business use case for your Large Language Model (LLM). Further, we delve into your available data, assessing what resources are available to feed into the LLM.
We design the LLM architecture and build a data pipeline according to data preprocessing needs. This will include specific Retrieval Augmentation Generation (RAG) pipelines to finetune the LLM considering performance, data availability and system integration requirements.
We train, fine tune, parameter fine tune, or context learn the model to build the solution and carry out prompt tuning techniques to develop the customised solution.
We would choose the right infrastructure between cloud, on premise and hybrid, and integrate the custom LLM solution back into your business
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