What’s New in AI: From Search to Discovery to Personalization with Lucky Gunasekara
Published by O'Reilly Media, Inc.
Information retrieval, RAG, UX, and the future of AI
Join host Hugo Bowne-Anderson and guest Lucky Gunasekara for a discussion of the rapidly evolving landscape of information retrieval and AI. From retrieval-augmented generation (RAG) to the importance of small models and data privacy, they’ll explore how user experience (UX) and AI-driven technologies can create more intuitive and effective systems.
As generative AI goes mainstream, it’s critical to understand the opportunities and the challenges these technologies present. You’ll examine both as you dive deep into real-world applications—including personalized AI assistants and privacy-first solutions—to gain practical insights into the application of RAG, information retrieval, the role of UX in improving user engagement through, and how small models can offer better, more secure alternatives to today’s large, extractive systems.
Whether you’re working on AI search systems, enhancing information retrieval, or building private small-scale models, this live event will help you stay ahead of the curve.
What you’ll learn and how you can apply it
- Explore the role UX plays in driving user engagement for AI and RAG-based systems Understand the limitations and opportunities of retrieval-augmented generation (RAG) when applied to real-world tasks
- Discover how small language models can improve privacy and personalization in AI systems
- Examine the ethical and practical challenges of the current AI landscape, including data privacy and media sustainability
- Get insights on using reinforcement learning to optimize content engagement based on user behavior
This live event is for you because...
- You want to keep up-to-date on the latest developments and breakthroughs in the field of AI.
- You’re an AI practitioner or leader who builds or oversees the development of information retrieval and search systems.
Prerequisites
- Come with your questions for Lucky
- Have a pen and paper handy to capture notes, insights, and inspiration
Recommended follow-up:
- Read “Semantic Search and Retrieval-Augmented Generation” (chapter 8 in Hands-On Large Language Models)
- Read “RAGs and Agents” (chapter 6 in AI Engineering)
- Take Building Retrieval Augmented Generation (RAG) Applications with LlamaIndex (on-demand course)
- Watch What’s New in AI: AI Search with Paco Nathan (recorded event)
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Thursday, December 5, 2024, at 8:00am PT / 11:00am ET
- Interactive discussion and Q&A (60 minutes)
Your Hosts and Guests
Hugo Bowne-Anderson
Hugo Bowne-Anderson is an independent data and AI consultant with extensive experience in the tech industry. He’s the host of the podcast Vanishing Gradients, where he explores cutting-edge developments in data science and artificial intelligence. As a data scientist, educator, evangelist, content marketer, and strategist, Hugo has worked with leading companies in the field. His past roles include head of developer relations at Outerbounds, a company committed to building infrastructure for machine learning applications, and positions at Coiled and DataCamp, where he focused on scaling data science and online education respectively. Hugo's teaching experience spans from institutions like Yale University and Cold Spring Harbor Laboratory to conferences such as SciPy, PyCon, and ODSC. He has also worked with organizations like Data Carpentry to promote data literacy. His impact on data science education is significant, having developed over 30 courses on the DataCamp platform that have reached more than 3 million learners worldwide. Hugo also created and hosted the popular weekly data industry podcast DataFramed for two years. Committed to democratizing data skills and access to data science tools, Hugo advocates for open source software both for individuals and enterprises.
Lucky Gunasekara
Lucky Gunasekara is the cofounder and CEO of Miso.ai, where he leads the team's efforts to create new search and discovery experiences that dissolve the barriers between content and readers. Drawing on his background in interaction design and user experience research, Lucky collaborates with publishing partners and newsrooms to develop seamless content search and discovery interfaces that are in balance with their editorial and journalistic standards. A longtime supporter of privacy-first systems, his core focus is making sure the next generation of AI and LLM systems are responsibly wielded, with a strong emphasis on credit, consent, and compensation for experts, publishers, and creators.