On-Premise LLMs

for Enterprise

One of our key strengths is rapid deployment. We've heavily invested in a diverse range of tools and technologies, allowing us to quickly, efficiently, and effectively deploy LLMs on-premise. Our unique ecosystem of tools streamlines the deployment process and delivers swift results.

We deploy LLMs that function offline, processing data without the need for internet transmission while maintaining 90% of chatGPT's quality. This ensures your sensitive data remains within your organization's internal network, reducing the risk of data breaches or leaks.

Supporting over 30 languages, our bots enable comprehensive searches across a wide array of documents. Whether it's legal papers, academic articles, or technical manuals, our solution helps you quickly and easily find answers, saving you time and effort.

Certified by IBM Cloud for Financial Services, Tovie-powered language models provide enterprise-grade privacy and security for your proprietary data. Our solutions focus on safeguarding sensitive information and ensuring compliance with PII, GDPR, and internal policies.

Advanced pre-search and restrictive context querying enable us to fine-tune the chatGPT-based model output, ensuring consistently appropriate and high-quality responses. Whether you're seeking answers to complex tech questions or basic information on company policies, it will always provide contextually accurate answers.

Attention.sh's advanced algorithms for automatic scenario generation and end-to-end solutions enable successful launches with fewer resources. This approach saves you time and money, allowing you to invest more effectively in other areas of your business.

Large Language Models (LLMs) are advanced AI systems that understand and generate human-like text by analyzing vast amounts of language data to learn patterns and context.

Large Language Models (LLMs) work by analyzing vast amounts of text data to learn patterns and relationships in language. They generate responses by predicting the most likely next words or phrases based on this learned knowledge.

Implement LLMs in business by integrating them into customer service for automated support, using them for content generation and marketing, and applying them for data analysis and insights to enhance decision-making processes.

The top 3 ways to tailor GPT for your business are:

1. Fine-tuning: Customize the model with your specific data to improve relevance and accuracy.
2. API Integration: Embed GPT into your business applications for seamless functionality.
3. Prompt Engineering: Design specific prompts to guide the model’s responses to meet your business needs.

Generative AI works by using machine learning models, such as neural networks, to learn patterns from large datasets and then create new, original content, like text, images, or music, based on that learned information.

Yes, LLMs can be used safely in an enterprise setting by implementing robust data privacy measures, such as encryption, access controls, and regular audits to protect digital privacy.