Dell and Red Hat OpenShift Boost GenAI’s Influence

Dell and Red Hat OpenShift

Dell collaboratively designed APEX Cloud Platform for Red Hat OpenShift, the newest offering in our Dell APEX Cloud Platform family, to change OpenShift on-premises, a few weeks ago. They are thrilled to announce the release of the Dell Validated Design for Red Hat OpenShift AI on APEX Cloud Platform, which demonstrates how to create a digital assistant that is tailored to the specifics of your company.

The 75% of organizations that have boosted their AI expenditure show that AI is exciting. Artificial intelligence (AI) has great potential, but organizations are struggling to harness it to provide value. Digital assistants have shown early promise in boosting clinical trials for medication research, retail customer service, and government service accessibility.

Unlocking GenAI’s Business Potential

One of the most common applications of generative AI (GenAI) is digital assistants, which can be found in a wide range of businesses due to the value they provide. By performing regular chores and providing answers to inquiries, the technology is meant to help people. Consider a digital assistant as a rudimentary chatbot. Despite their longevity, chatbots still have several problems. They have all experienced a horrible chatbot customer care experience. The capabilities and methods in which this kind of technology operates are revolutionized by GenAI in several ways.

Large language models (LLM) are the first, trained on vast quantities of data to comprehend current content and produce new material. Although LLMs are amazing and produce amazing results, they may not provide your company with domain-specific knowledge or keep up to date on their own. Retrieval-augmented generation, or RAG, fills that need. By adding your company’s data to the LLM through RAG, you can quickly train it with up-to-date, pertinent information.

Increasing Access to GenAI

They demonstrate our proven architecture for this framework by adding a number of Dell documents to the widely used LLM Llama 2. By doing this, users receive more precise answers to their questions and have direct access to the original document, allowing them to see the information’s source. The influence of RAG , along with how answering the same question becomes better after ingesting a document.

Although this is fantastic, they are aware that beginning a GenAI project might be intimidating. For this reason, our verified design offers detailed instructions on how a data scientist may use Red Hat OpenShift AI on the APEX Cloud Platform to use an LLM with RAG to create their own digital assistant. They used a number of open-source operators to make it simple to duplicate and modify the design to meet the demands of your unique company.

An alternative to prescriptive AI/ML suites is Red Hat OpenShift AI, which offers a platform for model construction without having to worry about infrastructure or lock-in from public cloud-specific tools, together with a set of collaborative open-source tools. Red Hat OpenShift AI on APEX Cloud Platform allows you to get started quickly and concentrate on delivering real business outcomes instead of troubleshooting and maintaining a complex array of standalone technologies.

Their services team can assist your company with planning, implementation, acceptance, and scalability of GenAI solutions. They are also skilled in leveraging context-specific GenAI, such as RAG, to unlock the value of your data.

How to Utilize a Digital Assistant

GenAI is a topic of great enthusiasm. Starting off, though, may be difficult. By deploying a digital assistant, companies can begin reaping the benefits of GenAI quickly and easily with the Dell Validated Design for Red Hat OpenShift AI on APEX Cloud Platform digital assistant.