Ying
Li
Product Lead at Meta
"Harness LLM/GenAI to Elevate Your Existing Products"
"Harness LLM/GenAI to Elevate Your Existing Products"
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Session: Harness LLM/GenAI to Elevate Your Existing Products
In this section, I will explore how businesses can effectively harness the power of Large Language Models (LLMs) and Generative AI (GenAI) to enhance and elevate existing products. Drawing from my expertise in growth, monetization, and AI, I will share actionable insights on how to integrate these advanced technologies into products that are already in the market, ultimately improving customer experiences and creating new revenue streams.Participants will learn about the impact of AI technologies on product development, the steps to incorporate LLMs and GenAI into their product strategy, and the considerations for driving adoption and monetization. I will also discuss real-world examples of AI product growth, including scaling, improving engagement, and optimizing monetization strategies.
Key Takeaways
- Integrating AI into Existing Products: Learn how to leverage LLMs and GenAI to add value to your current product offerings without starting from scratch.
- Enhancing Customer Experience: Discover how AI can improve user interaction, personalization, and overall satisfaction in products that already have an established user base.
- Scaling and Monetization: Gain insights on using AI-driven strategies to scale your product, increase retention, and find new monetization opportunities.
Bio
Ying is a seasoned product leader with extensive experience in building and scaling AI-driven products. As a Product Lead at Meta, Ying has led the development of transformative AI systems, including privacy-preserving frameworks, large-scale recommendation infrastructures, and AI-powered conversational platforms. Over the past seven years, Ying's work has shaped innovative solutions in AdTech, messaging, e-commerce, and FinTech, influencing the adoption of ethical and scalable AI practices across industries. Ying’s expertise spans natural language processing (NLP), computer vision, deep learning, and reinforcement learning, with a focus on integrating these technologies to create impactful user experiences and scalable infrastructures. At Amazon, Lena drove the development of groundbreaking visual search tools, such as “Shop The Look,” setting new industry benchmarks. At Yahoo Finance, she built an AI-powered multi-faceted search engine, democratizing access to financial insights for millions of users. With a strong foundation in both technical expertise, user experience, and business acumen, Ying bridges the gap between emerging AI technologies and real-world applications, driving innovation that transforms products and industries.