Large Language Models in Professional Services

Clients increasingly expect to improve the user experience and maximize internal workflows with AI. With deepset Cloud, digital-focused agencies can build custom generative AI solutions for their clients in record time.

  • Innovate products and workflows

  • Grab attention with AI-driven campaigns

  • Turn clients' data into actionable insights

  • Level up your team's AI skills

  • Streamline internal workflows

  • Give your customers an edge with AI

Explore Our Resources

Building with LLMs in Professional Services?

We've helped many companies in a wide range of industries build AI-powered products and workflow tools from scratch. Contact us to see how deepset Cloud can help you quickly ship a working prototype for your clients.

Frequently Asked Questions

  • While there are companies who have gone the route of training their own LLM from scratch - spending millions of dollars in the process - it is actually a better idea to remain flexible if you want to stay competitive. Vendor agnosticism, a principle championed by deepset, allows you to change models when they no longer serve you. For example, if a cheaper or faster model comes along, you can simply plug it into your existing pipeline and move on.

  • Keping data safe, especially sensitive customer or business data, is a big concern in the age of AI models and decentralized computing infrastructures. At deepset, we recognize this and have therefore prioritized data security. Users can manage access with MFA and SSO in deepset Cloud, while our virtual private cloud (VPC) option provides the flexibility to leave their data layer in their preferred location. Furthermore, we are SOC 2 and GDPR-compliant, as well as CSA STAR Level 1 certified.

  • To build products or internal tools with AI, you need to put together a team that understands AI technology, has a product mindset, and understands both user needs and business requirements. This type of team is called an "AI team." It can be large or small, as long as it has the right cross-functional skills. To learn more about AI teams and how to build one, check out our whitepaper on Leading a successful AI team.

  • LLMs "hallucinate", that is, they make up facts that are not supported by any data. Because of the eloquence of these models, hallucinations can be difficult to detect, creating a volatile factor that is a barrier to using LLMs in production. However, using a combination of prevention techniques, teams can reduce the number of hallucinations to a minimum. These include effective prompting, grounding the LLM's response in fact-checked data through retrieval augmented generation (RAG), and monitoring the Groundedness of responses.

Contact Us to Speak to Our Experts

Let AI work for you. Deliver advanced LLM-powered applications to your customers in no time.