0. GenAI. 데이터 과학 석사

Explore the World of Generative AI: This course provides a comprehensive understanding of generative AI, covering the fundamental principles of generative models, their diverse applications, and the types of problems they can solve within data science.

Mastering Generative Models & LLM Evaluation: Learn how to assess the quality of model outputs using key metrics like consistency, relevance, factual accuracy, and automated text indicators. Gain insights into evaluating Large Language Models (LLMs) effectively.

LLM Fundamentals & Prompt Engineering: Dive into the inner workings of language models. Discover effective prompt structuring techniques and learn how to tailor responses for various contexts. Develop expertise in prompt engineering for optimal LLM performance.

Data Processing for Generative Models: Acquire practical strategies for preparing text, image, and document data to leverage in generative and query tasks. Learn how to clean, format, and transform data for AI applications.

Advanced Model Techniques: Fine-tuning & Embeddings: Analyze how to fine-tune models and utilize embeddings to create customized solutions. Explore few-shot learning and fine-tuning techniques for specific use cases.

Real-World Applications: RAG, Semantic Search & Multimodality: Learn to integrate Retrieval-Augmented Generation (RAG), semantic search, and multimodal analysis into practical applications. Develop skills in information retrieval, contextual reasoning, and multimodal understanding.

Hands-on Projects:

• Invoice to Excel Conversion: Automate the extraction of key data from PDF invoices and generate structured reports in spreadsheets.
• Legal Document Assistant: Implement an LLM-powered assistant capable of answering legal questions based on PDF legal documents.
• Automated Image Captioning: Design a model to generate automated descriptions of images, facilitating analysis and search.
• SQL Querying with RAG: Build a tool that allows natural language queries to databases, enhanced by RAG for improved results.

This course combines theoretical knowledge with practical application, equipping you with the skills to develop innovative solutions for automation, advanced analytics, and intelligent systems using generative AI.