Optimize and Finetune Custom Generative AI Models
Maximize the potential of your generative AI models with advanced fine-tuning and compression techniques, delivering precise and efficient outcomes tailored to your business needs.
Reduce model complexity and resource consumption without compromising quality with our model compression capabilities. Simplify Deployment and Management of your custom AI models effortlessly with Hub Plus
Optimize and Finetune Custom Generative AI Models
Build and Deploy Custom GenAI Apps within hours
Design, develop, and deploy tailored generative AI applications that meet your specific business requirements. With our intuitive Low code/No Code app design feature, you can create powerful AI-driven Apps within hours.
Seamlessly deploy and manage your custom GenAI applications at scale with App Hub. Integrate AI-powered apps into your existing ecosystem or leverage them as standalone solutions.
Build and Deploy Custom GenAI Apps within hours
mlangles GenAI Appstore
Access a curated selection of generative AI applications built and personalized by us to help you realize your use case.
mlangles GenAI Appstore
Nextgen RAG with DataDive
By leveraging retrieval-augmented generation (RAG) and advanced semantic search techniques with DataDive, organizations can enhance foundational LLMs with their proprietary knowledge base, ensuring chatbots deliver the most relevant, accurate, and reliable information. DataDive supports multiple data sources, including S3, SharePoint, and various open-source models, as well as low-code/no-code (LC/NC) capabilities and scheduled RAG database updates.
With DataDive, data teams can rapidly develop generative AI-powered chat applications at an enterprise scale, enabling a wide range of use cases in just a few hours.
Nextgen RAG with DataDive
LLM Monitoring:
Keep your cost under control and Maintain Peak Performance.
mlangles monitoring capabilities enables you to continuously observe your models in real-time, allowing for timely interventions when necessary. By leveraging comprehensive insights and analytics, you can maintain peak performance and make data-driven adjustments that control costs without sacrificing quality. This proactive approach ensures your models operate efficiently, providing the reliability and scalability your organization needs.