Frequently Asked Questions
We offer fine-tuned Language Learning Models (RegLLM) specifically designed to meet the needs of regulatory and compliance sectors. Additionally, we provide a personalized analytical dashboard for compliance officers.
Our services are primarily aimed at compliance officers, regulatory bodies, legal firms, and corporations that require high-quality compliance and regulatory insights.
Our fine-tuned RegLLM models are designed to provide accurate, up-to-date information on compliance and regulatory standards. Coupled with a personalized analytical dashboard, our service offers an unparalleled user experience.
An LLM is a type of machine learning model that is designed to understand and interpret natural language data.
Our RegLLM models are trained on a wide range of legal texts, compliance documents, and regulatory guidelines to ensure high levels of accuracy and relevance in these specific domains.
Yes, we follow best practices to ensure that your data is securely processed and stored.
Yes, we offer customization services to fine-tune the model to better suit your specific requirements.
Our analytical dashboard is a tool that allows compliance officers to monitor various metrics, trends, and insights in real-time, tailored to their specific needs.
The dashboard provides analytics such as compliance scores, risk assessments, trend analyses, and real-time alerts, among others.
Yes, we offer multi-user capabilities with varying levels of access control.
Yes, our dashboard is designed to be accessible and fully functional on various devices, including smartphones and tablets.
We offer 24/7 customer support through email, chat, and phone.
The RegLLM is updated quarterly by default to include the latest regulatory changes and improvements. However, the RegLLM can be updated upon the company’s demand
You can report any issues or provide feedback through our customer support channels or directly via the dashboard’s feedback feature.
We adhere to GDPR and other international data protection laws to ensure your data is handled securely.
Data retention policies are customizable and can be tailored to meet your organization’s compliance needs.
Yes, we comply with a range of industry-specific regulations and are continuously updating our models to adhere to new standards as they are established.
The RegLLM is fine-tuned using a diverse set of sources, including legal documents, compliance guidelines, and regulatory texts from various jurisdictions and industries.
Fine-tuning optimizes the L RegLLM to better understand and generate language in the context of regulatory and compliance matters. This increases the model’s accuracy and relevance when dealing with specialized terminology and scenarios.
Yes, we offer custom fine-tuning services where the LLM can be trained on specific laws, regulations, or any other texts that are particularly relevant to your industry or needs.
After the fine-tuning process, we assess the RegLLM ‘s performance through various metrics such as accuracy, relevance, and comprehensibility to ensure it meets the specified standards.
The RegLLM is updated and fine-tuned on a quarterly basis to incorporate the latest regulatory changes and feedback from our users. Custom fine-tuning can also be requested at any time.
The standard turn-around time for custom fine-tuning is 4 to 6 weeks, depending on the complexity of the requirements.
Fine-tuning generally enhances the model’s ability to generate outputs that are easier to interpret in a regulatory and compliance context, by aligning the model more closely with the language and terminologies used in these sectors.
Yes, our fine-tuned RegLLM offers APIs that allow you to integrate it into your existing compliance and regulatory software ecosystems.
The scope of fine-tuning is generally limited by the amount and quality of training data available for the specific domain or requirement.
We adhere to ethical guidelines in machine learning and data science to ensure that the fine-tuning process avoids biases and maintains fairness.
Upon request, we can provide transparency reports that detail how the fine-tuning was executed, what data sets were used, and performance metrics post-fine-tuning.
Custom fine-tuning is generally non-reversible, but we will work closely with you to make necessary adjustments to meet your specific requirements.
We take data privacy seriously and follow strict encryption and anonymization techniques during the fine-tuning process. Any data used is compliant with GDPR and other relevant data protection laws.
Our team includes experts in machine learning, data science, and legal compliance, who collaborate to ensure that the RegLLM is finely tuned to meet the demands of regulatory and compliance fields.
Yes, we offer a sandbox environment where you can test the capabilities of a fine-tuned RegLLM before deploying it into your production systems.
Absolutely, we can fine-tune the LLM to understand and generate text in multiple languages relevant to your regulatory and compliance needs.
The LLM is trained on industry-specific datasets, which include terminology and jargon common to the legal, regulatory, and compliance sectors, making it adept at understanding these nuances.
The fine-tuning process aims to maintain or improve the efficiency of the model. Any variations in speed are generally minimal and are communicated beforehand.
Yes, with proper agreements in place, you can contribute internal documents to further tailor the LLM to your specific organizational needs. These documents will be handled with strict confidentiality.
Yes, one of the features of the fine-tuned RegLLM is the ability to flag potential areas of non-compliance in the text it reviews, although it should not replace legal advice.