Tech Corner August 24, 2023
At Alkymi, our customers have strict data privacy policies and enterprise architecture requirements they need to adhere to, particularly when handling data on behalf of their own clients. Starting to use large language models (LLMs) in their workflows is an exciting opportunity, but it’s one they have to think through carefully and deliberately.
In order to add generative AI into their workflows with confidence, a one-size-fits-all approach is not the answer, whether because of data security and architecture considerations or due to specific use cases. Adopting an LLM-powered platform that is tied to a single LLM provider or strategy is a potentially limiting decision. That's why we believe it's critically important to give our customers the power to decide which models they use, and we can use our experience to guide them through that decision.
When integrating any new tool into their workflows, it’s as crucial for financial services firms to know that they’re leveraging best-in-class technology as it is for them to know exactly how their data and their customer data is being used. We want our customers to be not just informed but actively involved in that decision. Alkymi users can opt into any of these LLM strategies simultaneously within the platform—selecting the right LLM for each of their specific workflows.
One example of how Alkymi users are able to exercise choice is shown by our Answer Tool, available in Alkymi Alpha. Each time they add a new Answer Tool to their workflow, users can choose which model they would like to use as the answer-engine for their question from a drop-down menu.
Large language models can generate insights quickly and with amazing accuracy, providing concise answers from large documents and data sets. As LLMs continue to make rapid advancements, it will be critical for enterprises to be able to chart their own path. With new models with different performance and data privacy characteristics being deployed, maintaining an ability to quickly adopt and interchange models that meet different needs is crucial.
We’re making this choice possible at Alkymi by providing our customers an understanding of the models available and the option to choose the ones best tailored to their needs, so they can easily use LLMs in their workflows with confidence.
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