#artficialintelligence #126: A framework to develop generative AI use cases

?Hello all

I created this framework to develop generative AI use cases. We put generative AI at the core.

There are three components

1. Product discovery - how do you identify a new service. Each of these components can be implemented using Gen AI
2. Generative AI: This framework puts generative AI at the centre. We start with what can be generated and also keep in mind where its going
3. Validation of use cases: This step depends on how safe / valid the use case is

Taking a B2B approach, we always ensure that the output of generative AI is not directly exposed to the end user i.e. generative AI operates in a co-pilot mode to the expert. That's where the value lies in my view.

Welcome thoughts

If you want to study with me, please see my University of Oxford courses on Artificial Intelligence?

Artificial Intelligence: Generative AI, Cloud and MLOps (online)?

Details are below

Product discovery?

• Hypothesis Creation:
• Ideation
• Problem Identification:
• User Research:
• Prioritisation:
• Prototyping and Experimentation:
• User Testing:
• Validation:
• Business Viability:
• Roadmap Planning:
• Checkpoints
• Cross-functional Collaboration:
• Iterate and Refine:
• Decision Making:
• Communication:
• Documentation:
• User Personas
• Prototypes or MVPs

Generative AI

• Code generation ability
• language understanding and generation
• Image understanding and generation
• Autonomy
• Foundation model capabilities
• Data and need to fine tune model

Validation of Use cases

• Risk
• Impact
• Explainability? Responsibility and ethics
• Fluency
• Accuracy
• Validation criteria - business
• Validation criteria - expert
• Validation criteria - test scripts
• Exposure of direct o/p of generative AI to end users

If you want to study with me, please see my University of Oxford courses on Artificial Intelligence?

Artificial Intelligence: Generative AI, Cloud and MLOps (online)?