Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here.
Hercules AI, a generative AI company innovating around the future of work, has developed a new methodology for quickly deploying virtual AI workers in the enterprise. In addition, the company formerly known as Zero Systems has introduced RosettaStoneLLM, a model helping companies in regulated industries automate complex workflows that require cognitive decision-making.
Dubbed an “assembly line” process, organizations can choose prefabricated components to develop and deploy virtual AI workers. Everything is premade, tested, and pre-configured in advance—no custom ordering. Hercules AI says doing this will produce AI agents that are “high quality, cost-efficient, and easily scalable.” All that would need to be done is fine-tune the model so the bot follows the specified workflow.
Most companies may prefer a bot that caters to their needs and specifications. However, doing so in a regulated field requires time and money, which can harm customers. However, those in finance, insurance, and legal services may be more accepting because each component will have been vetted by a regulating body to follow the law and ensure data security. If it works for others in the space, why not follow suit? The only customization allowed would be with the large language model (LLM).
Another offering Hercules AI has is the RosettaStoneLLM. It’s built off Mistral-7B and WizardCoder-13B and has 7 billion parameters. Companies using this can convert structured data from within spreadsheets so it can be mapped and transformed by the AI. Imagine the volume of database exports and spreadsheets a regulated business might possess. Converting these files into useful systemwide data can be costly and time-consuming. This LLM is designed to turn large volumes of structured data into something that aligns with your internal workflows.
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we’re headed to Atlanta for the AI Impact Tour stop on April 10th. This exclusive, invite-only event, in partnership with Microsoft, will feature discussions on how generative AI is transforming the security workforce. Space is limited, so request an invite today.
Request an invite
The company claims that early results show RosettaStoneLLM can do tasks like entity mapping and code generation better by up to 30 percent than general models of GPT-4.
A screenshot of inference done using Hercules AI …
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Join us in Atlanta on April 10th and explore the landscape of security workforce. We will explore the vision, benefits, and use cases of AI for security teams. Request an invite here.
Hercules AI, a generative AI company innovating around the future of work, has developed a new methodology for quickly deploying virtual AI workers in the enterprise. In addition, the company formerly known as Zero Systems has introduced RosettaStoneLLM, a model helping companies in regulated industries automate complex workflows that require cognitive decision-making.
Dubbed an “assembly line” process, organizations can choose prefabricated components to develop and deploy virtual AI workers. Everything is premade, tested, and pre-configured in advance—no custom ordering. Hercules AI says doing this will produce AI agents that are “high quality, cost-efficient, and easily scalable.” All that would need to be done is fine-tune the model so the bot follows the specified workflow.
Most companies may prefer a bot that caters to their needs and specifications. However, doing so in a regulated field requires time and money, which can harm customers. However, those in finance, insurance, and legal services may be more accepting because each component will have been vetted by a regulating body to follow the law and ensure data security. If it works for others in the space, why not follow suit? The only customization allowed would be with the large language model (LLM).
Another offering Hercules AI has is the RosettaStoneLLM. It’s built off Mistral-7B and WizardCoder-13B and has 7 billion parameters. Companies using this can convert structured data from within spreadsheets so it can be mapped and transformed by the AI. Imagine the volume of database exports and spreadsheets a regulated business might possess. Converting these files into useful systemwide data can be costly and time-consuming. This LLM is designed to turn large volumes of structured data into something that aligns with your internal workflows.
VB Event
The AI Impact Tour – Atlanta
Continuing our tour, we’re headed to Atlanta for the AI Impact Tour stop on April 10th. This exclusive, invite-only event, in partnership with Microsoft, will feature discussions on how generative AI is transforming the security workforce. Space is limited, so request an invite today.
Request an invite
The company claims that early results show RosettaStoneLLM can do tasks like entity mapping and code generation better by up to 30 percent than general models of GPT-4.
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