Soledad Alborno, a product manager at Google, discusses her experiences in developing GenAI products, particularly focusing on the Summarize feature for Google Assistant. She outlines the skills needed to create effective GenAI applications, sharing her evolution from a seasoned product manager to navigating the complexities of large language models (LLMs). Alborno highlights the importance of dataset preparation and evaluation methods, acknowledging challenges like hallucinations and latency. Her journey illustrates that traditional product management skills must adapt to the innovative landscape of GenAI.
When I started building Summarize, I thought I was like a very seasoned product manager, 10 years of experience, but I quickly learned about the complexities of GenAI.
In my journey of building this product, I learned to treat and build datasets. I learned to create ratings and evals, essential for success.
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