Friday Learnings S3 E3: Robust Architecture Pt.3

Blog Author
Jared Beekhuyzen
Jul 23, 2024
featured image

In the third and final segment of the conversation with Unique's CTO Andreas Hauri, the focus is on the importance of defining use cases for AI and GenAI platforms and how these platforms should support the addition of use cases over time. 

 

The discussion focuses on the challenges and strategies involved in ensuring that AI solutions are adaptable and accurate.

 

Here are the main highlights of the conversation:

 

  • It's crucial for platforms to support a wide range of use cases, even though it's unclear what specific use cases may arise as AI and GenAI evolve. Each client often has unique requirements regarding how data is used and exposed, necessitating flexible support for different scenarios.

  • While having predefined use cases that work well is beneficial, they are often not sufficient. Customization and going beyond the standard solutions are sometimes necessary to meet specific client needs.

  • Ensuring that the model provides accurate and precise answers is critical, especially in contexts where incorrect information can have significant consequences. Tailoring the interaction with the model to the specific use case is essential for achieving this precision.

  • It's important to innovate and think creatively rather than relying solely on standard solutions. This approach has proven effective in addressing unique challenges and delivering accurate, reliable results.

Defining and supporting diverse use cases is vital for AI platforms. Unique’s approach of generating precise queries for databases, rather than relying solely on retrieval-augmented generation, exemplifies the importance of tailored solutions and innovative thinking in ensuring accurate and effective AI interactions.

 

Watch the full episode for full insights.