Generative AI
Our Service
At Amzu, we specialise in the comprehensive deployment and management of open-source Large Language Models. Our service is designed to handle every aspect of the LLM lifecycle, allowing you to focus on deriving value from these advanced AI models whilst we take care of the technical intricacies.
Key Features
- Diverse LLM Support:
- Currently supporting Mistral, with plans to expand our offerings to include Llama, Gemma, and other leading open-source LLMs.
- Stay at the forefront of AI technology with access to a growing portfolio of powerful language models.
- End-to-End Deployment:
- Expert setup and configuration tailored to your specific infrastructure and requirements.
- Seamless integration with your existing systems and workflows.
- AIOps-Driven Management:
- Continuous monitoring and optimisation of your LLM deployments.
- Proactive issue detection and resolution to ensure maximum uptime and performance.
- Custom Fine-Tuning:
- Adapt LLMs to your specific domain and use cases for enhanced relevance and accuracy.
- Ongoing refinement based on your evolving needs and feedback.
- Regular Updates:
- Stay current with the latest model versions and improvements.
- Benefit from continuous enhancements in LLM capabilities and performance.
- Expert Support:
- Access to our team of AI specialists for guidance and problem-solving.
- Comprehensive documentation and training to empower your team.
Ideal for
- Automate content creation for marketing agencies; Implement AI-powered book recommendations for bookshops.
- Streamline legal document analysis for law firms; Deploy 24/7 customer service chatbots for e-commerce stores.
- Predict equipment failures for manufacturing; Enhance fraud detection for financial institutions.
- Create personalised learning paths for educational institutions; Accelerate drug discovery for pharmaceutical companies.
- Optimise supply chains for retail chains; Advance autonomous driving systems for automotive manufacturers.
Let us help you with your LLM Projects from Infrastructure and LLMOps prespective.