Models

At kis.ai, we empower our customers to leverage the full potential of artificial intelligence by providing comprehensive tools and capabilities for training, experimenting with, and deploying machine learning models.

Training Models from Scratch

Our platform allows users to train models from scratch, tailored to their specific needs. Whether it’s simple classification tasks, forecasting, natural language understanding (NLU), or more complex deep learning models, kis.ai provides the necessary infrastructure and tools. Customers can start with basic models and progress to more advanced architectures as their requirements evolve. This flexibility ensures that businesses can build models that are precisely aligned with their unique data and objectives.

Fine-Tuning Open Source LLMs

In addition to training models from scratch, kis.ai enables the fine-tuning of open source Large Language Models (LLMs). Fine-tuning allows customers to adapt pre-trained models to their specific domains, enhancing the model’s performance on particular tasks without needing extensive computational resources. This approach leverages the strengths of existing models and tailors them to meet specialized needs, resulting in highly effective and efficient solutions.

Experimentation

Experimentation is a crucial part of developing robust AI models. kis.ai supports this by providing a platform where customers can experiment with various models, tweaking parameters and architectures to optimize performance. Our tools facilitate comparing and contrasting the outputs and performance of different models. By evaluating models side by side, users can make informed decisions about which models best meet their criteria, ensuring the selection of the most suitable model for their applications.

Inference at Scale

Once a model is trained and validated, deploying it at scale is the next critical step. kis.ai offers seamless deployment capabilities, enabling customers to bring their models into production effortlessly. Our platform supports scalable deployment options, ensuring that models can handle large volumes of data and requests without compromising performance. This scalability is essential for applications that require real-time processing and high availability.

Production Operations

Operating models in production involves continuous monitoring and maintenance to ensure they perform reliably. kis.ai provides comprehensive tools for managing models in a production environment. This includes monitoring model performance, handling updates, and ensuring that models continue to meet the required standards. Our platform supports automated retraining and updating of models, helping businesses keep their AI solutions up to date with evolving data and requirements.

AI Lifecycle Support

kis.ai’s platform offers end-to-end support for the entire AI lifecycle, from initial training and experimentation to deployment and ongoing operations. Our integrated approach ensures that customers have all the tools they need to develop, deploy, and manage AI models effectively. By providing robust infrastructure, user-friendly tools, and scalable deployment options, we enable businesses to harness the power of AI to drive innovation and achieve their strategic goals.

In summary, kis.ai is designed to support every stage of the AI model development process. Whether you are building models from scratch, fine-tuning existing LLMs, experimenting with different architectures, or deploying and operating models at scale, kis.ai provides the comprehensive tools and capabilities needed to succeed. Our platform’s flexibility and scalability ensure that your AI solutions can grow and adapt alongside your business, delivering lasting value and impact.