Overview
Explore AI's impact on search in 2023, covering challenges, models, and future trends in information retrieval and conversational systems.
Syllabus
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- Introduction to AI in Search
-- Overview of AI's role in search engines
-- Historical context and evolution of search technologies
- Core Challenges in Modern Search
-- Understanding user intent
-- Managing scale and efficiency
-- Handling diverse multimedia content
- Key AI Models in Search
-- Machine Learning and Deep Learning models for search
-- Natural Language Processing (NLP) techniques
-- Transformer-based models (e.g., BERT, GPT)
- Enhancements in Information Retrieval
-- Semantic search and contextual understanding
-- Personalization and user-driven search customization
-- Ranking algorithms and relevance
- AI in Conversational Systems
-- Chatbots and virtual assistants
-- Dialogue systems and natural language interaction
-- Multi-turn conversation dynamics
- Future Trends in AI-Driven Search
-- Integration of AI with Augmented Reality (AR) and Virtual Reality (VR) in search
-- Ethical considerations and bias in AI search algorithms
-- Emerging technologies and hybrid search solutions
- Practical Applications and Case Studies
-- Industry-specific search applications
-- Case studies of successful AI implementation in search
- Course Wrap-Up
-- Review of key concepts
-- Discussion on the future of search
-- Final project presentations and feedback
Taught by
Tags
On-Demand
