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Building Effective Products with GenAI // Faizaan Charania // #187
Nov 3, 2023
53:13
Snipd AI
Faizaan Charania, Product Manager, AI at LinkedIn, discusses his AI product development approach, integrating generative AI, and evaluating AI-driven experiences. He shares wisdom on feedback integration, user trust, and collaboration challenges between product managers and AI teams. The podcast explores push vs pool mechanisms in product development, pros and cons of using open source models in enterprise-level use cases, prompt engineering and iteration, building trust in new interaction patterns, and the shift towards understanding machine learning and natural language models.
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Quick takeaways
- Generative AI should be seen as a tool and not a standalone solution in building AI products, with a focus on understanding the user problem, leveraging available data, and considering the user experience.
- Carefully selecting and iterating on prompts, along with evaluating AI models based on predefined criteria, are crucial in building effective AI experiences, with trust and feedback mechanisms playing a vital role in ensuring accurate and reliable outputs.
Deep dives
Using Generative AI as a Tool in Building AI Products
The podcast episode discusses using generative AI as a tool in building AI products. The speaker emphasizes the importance of thinking about generative AI as a tool rather than a standalone solution. They highlight the need to understand the user problem, leverage available data, and consider the user experience when incorporating generative AI. The speaker also discusses the importance of prompt engineering and iteration to create consistent and reliable outputs. Additionally, they mention the significance of trust and the need to actively evaluate and address biases in the AI system.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode