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Alpha
LLM strategies for investment firms
Use Alpha and LLM-powered tools in Alkymi's platform with models and environments that meet your security, regulatory and performance requirements.
The best options for your firm
Take advantage of the latest cutting-edge generative AI and large language models in your workflow with confidence in the security of your data. Alkymi gives you the flexibility to utilize the models and environments best suited for your firm, with your choice of LLMs and the option to use a private cloud deployment.
Alkymi-hosted LLMs
Use Alpha and Alkymi’s LLM-powered tools with our Alkymi-built, self-contained large language models, such as Llama 3, Mistral, or a model fine-tuned on your data. Your data is fully contained within our secure infrastructure, so you can use LLMs without having to consider how your data is being leveraged by third-party APIs.
Externally-hosted LLMs
Leverage the power of the latest generation of third-party LLMs within the Alkymi platform, such as OpenAI’s GPT models through the enterprise-grade Microsoft Azure OpenAI API. Your data is encrypted (both at rest and in transit), isolated, and not used for third-party model training.
Enterprise-hosted LLMs
If you have your own large language model hosted within your own data center, we can work with you to leverage it alongside the workflow, data validation, and integration capabilities of the Alkymi platform.
Utilizing a private cloud with your LLM
Firms with strict requirements for security, confidentiality, and regulatory compliance can utilize an Alkymi-hosted LLM within a private cloud deployment. With the combination of a self-contained, ring-fenced LLM and a private cloud, you can integrate the latest technology into your workflows while keeping your data in your own fully isolated environment with strict access restrictions.
LLM Resources
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Alkymi offers investment managers self-contained LLMs in secure private clouds
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How finance teams can leverage LLMs
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Model choice: An open architecture strategy for using LLMs
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Minimize hallucination risk while maximizing LLM output
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Using LLMs confidently in financial services workflows
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