Unlocking the Power of Generative AI: From Hype to Product Reality

Here is a quick summary of the exclusive and interactive AMA session I had with Shyvee Shi, Product Lead at LinkedIn and author of the acclaimed book "Reimagined: Building Products with Generative AI" a few days back.

In this session we discussed generative AI and its potential in product development. Incase you missed this session then here are the recording:

• Link to Spotify Podcast
• Link to Youtube Podcast

Here are the key takeaways

Shyvee's journey:

Started in consulting, transitioned to Product Management at LinkedIn. Led audience growth on LinkedIn through content creation and sharing product insights. Co-authored a book "Building Reimagined: Building Products with Generative AI".

Generative AI in product development:

• Can be used for creative tasks like writing drafts, summarizing key points,generating poems, etc.
• Useful for boosting capabilities like text-to-image generation or first drafts of presentations.
• Still in an early stage, requiring human input and oversight for best results.

Challenges and considerations:

• Technical: Data quality and size, model interpretability, prompt brittleness,version control.
• Ethical: Bias, misinformation, job displacement, privacy concerns.
• Economic: Resource intensity, cost per query, ROI calculation.

Tips for using generative AI responsibly:

• Understand the strengths and limitations of the technology.
• Use high-quality data and be aware of potential biases.
• Be transparent about how AI is used in your product.
• Consider the ethical implications of your product.
• Continuously monitor and update your AI models.

Additional resources:

• Shyvee's book "Building Reimagined: Building Products with Generative AI"
• Large language models like GPT-3 and LaMDA

DM Shyvee Shi, Product Lead at LinkedIn or me if you have follow up questions. Follow us on LinkedIn for future sessions.

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