As the demand for generative AI (GenAI) continues to grow, businesses are facing significant challenges in scaling their AI prototypes into production. While 98% have experimented with GenAI, only 26% of enterprises have successfully scaled their trials into useful business outcomes1. Companies are looking for AI models that can address their specific use cases, while also ensuring that they aren’t breaking the bank on IT spending.
Today, IBM is announcing the availability of Red Hat AI InstructLab on IBM Cloud, enabling enterprises to simplify, scale, and secure the creation of fit-for-purpose GenAI models for their businesses. Using technology from IBM Research and Red Hat empowers companies to unlock the full potential of GenAI for their unique and confidential business challenges. With Red Hat AI InstructLab, businesses can now create custom models that are tailored to their specific needs, resulting in improved accuracy, reduced costs, and enhanced security.
Taking a Tailored and Secure Approach to Model Customization
At the heart of Red Hat AI InstructLab is the instructLAB2 process for model customization, which enables businesses to align their custom models with their proprietary data. This approach ensures that the models are not only accurate but also secure and private. By leveraging the latest large scale GPUs (Graphics Processing Units) and IBM's Large-scale Alignment for chatBots (LAB) Methodology, Red Hat AI InstructLab provides enterprises with a scalable and secure way to create their own custom AI models, ready to be deployed on cloud, on premises, or anywhere else.
One of the key benefits of Red Hat AI InstructLab's as-a-Service solution is its ability to simplify the process of creating custom models. With a user-friendly platform, businesses can easily prepare and generate data, align models, and validate results. This streamlining reduces the complexity and costs associated with traditional AI model development, making it more accessible to enterprises of all sizes.
How We Help Clients Lead with Speed
Integrating enterprise data into AI models is critical for business value, but traditional methods like prompt tuning, fine-tuning, and retrieval-augmented generation often hit roadblocks—either they’re complex to set up, risk losing existing knowledge, or don’t scale efficiently. InstructLab on IBM Cloud changes the game by letting companies align AI models directly to their unique data and business needs, ensuring the model retains critical knowledge and delivers accurate, reliable results over time. The models are owned by the client and are portable wherever their business takes them.
For example, a major global telecommunication company used the service to analyze their current chatbot’s customers’ chats to create a customized model, owned by them and under their control. They realized a 15% improvement while reducing their model inferencing costs by 76%. The InstructLab approach to model alignment streamlines deployment and reduces costs, all with the privacy and security advantages of owning your own model and keeping your private data under your control.
Opensource AI on IBM Cloud: Our Roadmap to Success
With Red Hat AI InstructLab as a service on IBM Cloud, enterprises can now take control of their AI strategy and create custom models that meet their specific needs. By combining the power of GenAI with the flexibility and security of the service, businesses can unlock new opportunities for growth and innovation.
Using the combined power of Red Hat Openshift AI on IBM Cloud and Red Hat Openshift on IBM Cloud, companies have a complete end-to-end AI platform: develop, deploy, and manage their AI models and applications in a seamless and integrated way, from data preparation and model training to deployment and monitoring.
Try Red Hat AI InstructLab today and discover the power of custom GenAI for yourself. For more information about the entire Red Hat AI portfolio on IBM Cloud you can find us on the web at https://www.ibm.com/cloud/redhat
1 BCG “Where’s the Value in AI” Oct 2024
2 LAB: Large-Scale Alignment for ChatBot : https://arxiv.org/abs/2403.01081