198: Building AI Search and Customer-Enabled Fine-Tuning with Jesse Clark of Marqo.ai
Jul 17, 2024
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Guest Jesse Clark discusses his transition from physics to AI, debunking AI myths, the importance of data quality in AI, Marqo's AI search platform, challenges of vector search, and the future of AI in search systems.
Maximizing embedding efficiency aligns with user intent for search optimization.
Customizing language models is crucial for tailored outcomes aligned with business objectives.
Advancements in language models promise transformative search interfaces and user experiences.
Deep dives
Optimizing Embeddings and Language Models for Enhanced Search
When considering search optimizations, Jesse emphasizes the importance of maximizing the efficiency of embeddings by aligning them with user intent and data structures to mirror production requirements. Customizing language models is equally vital, focusing on outcomes aligned with business needs. The holistic approach ensures that the models are optimized for specific use cases and domain-specific data to cater to diverse business objectives.
Enhancing Search Results Through AI Innovations
Jesse anticipates advancements in large language models to extend across different modalities, enabling them to act as agents, controllers, and critics. By integrating language models with multiple data sources, search systems can offer more intuitive and cohesive user experiences. This evolution paves the way for language models to perform evaluations, reason over data, and provide nuanced search outcomes, revolutionizing the search landscape.
Future Interfaces and User Experience in AI Search
The future of interfaces in AI search excites Jesse, particularly in streamlining user interactions and enhancing search experiences. Leveraging language models to drive actions and optimize search results autonomously foretells a paradigm shift in how users engage with search systems. By moving away from keyword-centric search interactions, the potential for more intuitive and engaging search experiences is boundless, promising a transformation in user interface design.
Enhancing Search and Language Models with First-party Data
The recent product launch by Marco that allows integrating first-party data for optimizing search and language models underscores the importance of customizing these models for specific use cases. By aligning embeddings and language models with the domain-specific data and desired business outcomes, Marco aims to revolutionize search functionalities and deliver highly relevant and tailored search outcomes.
AI Advancements and the Future of Search Innovation
Jesse discusses his anticipation of advancements in AI, particularly in the evolution of large language models into multi-modal systems. The growing trend of language models acting as AI controllers, agents, and critics signals a profound shift in search technologies. By incorporating language models with diverse data sources, AI search systems can streamline user interactions, optimize search results, and drive actionable insights, fostering a new era of search innovation and user experience.
Ph.D. in Physics Experience Then Working in Data (2:27)
Early Machine Learning Journey (4:35)
Machine Learning at Stitch Fix (7:28)
Machine Learning at Amazon (10:39)
Myths and Realities of AI (13:49)
Bolt-On AI vs. Native AI (17:26)
Overview of Marqo (19:46)
Product launch and fine-tuning models (23:02)
Importance of data quality (25:38)
The power of machine learning in search (32:02)
Future of domain-specific knowledge and product data (34:08)
Unstructured data and AI (37:19)
Technical aspects of Marqo's system (39:42)
Challenges of vector search (43:27)
Evolution of search technology (48:15)
Future of search interfaces (50:43)
Final thoughts and takeaways (51:53)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.
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