Unstructured Data Preprocessing for RAG Apps & LLMs – [NEW]
Unstructured Data Preprocessing for RAG Apps & LLMs - [NEW]
Master Unstructured Data with ViT, Metadata, Advanced Chunking, Hybrid Search, and RAG Techniques
Product Brand: Udemy
5
Udemy Coupon Code for Unstructured Data Preprocessing for RAG Apps & LLMs – [NEW] Course. Master Unstructured Data with ViT, Metadata, Advanced Chunking, Hybrid Search, and RAG Techniques.
Created by Paolo Dichone | 3 hours on-demand video course
Retrieval Augmented Generation (RAG) Course Overview
Unstructured Data Preprocessing for RAG Apps & LLMs – [NEW]
Unlock the power of unstructured data and elevate your AI-driven applications with this comprehensive course on transforming unstructured data into actionable insights using advanced techniques. Whether you’re a developer, data scientist, or AI enthusiast, this course will equip you with the skills to extract, process, and normalize content from diverse document formats—including PDFs, PowerPoints, Word files, HTML pages, tables, and images—making your data-ready for sophisticated RAG systems and Large Language Models (LLMs).
In this hands-on course, you’ll delve deep into the Unstructured Framework, a powerful tool for managing and normalizing unstructured data. I’d like you to learn how to enrich your documents with metadata, apply advanced chunking techniques, and use hybrid search methods to enhance your data retrieval and generation processes. With a focus on real-world applications, you’ll gain practical experience in preprocessing documents using vision models like ViT, extracting valuable information through table transformers, and seamlessly integrating these components into your RAG-powered applications.
What You’ll Learn
- Master the Unstructured Framework: Understand how to leverage the Unstructured Framework for handling and normalizing diverse data types, optimizing them for use in RAG systems and LLMs.
- Advanced Metadata Extraction: Learn to enrich your documents with comprehensive metadata, improving search accuracy and relevance in AI-driven applications.
- Implement Cutting-Edge Chunking Techniques: Apply advanced chunking methods to manage and process large datasets, ensuring efficient data handling and retrieval.
- Harness Hybrid Search Capabilities: Explore hybrid search techniques that combine metadata and content-based retrieval, boosting the performance of your query engines.
- Document Image Analysis with ViT: Utilize vision models like ViT and table transformers to analyze and preprocess document images, enhancing your ability to extract and utilize unstructured data.
Top Retrieval Augmented Generation (RAG) Courses Online for 2024
Gen AI – RAG Application Development using LangChain Course
Gen AI – RAG Application Development using LangChain
This Gen AI – RAG Application Development using LangChain course on developing RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases is intended to enable learners who want to build a solid conceptual and hand-on proficiency to be able to solve any RAG automation projects given to them. This course covers all the basics aspects of LLM and Frameworks like Agents, Tools, Chains, Retrievers, Output Parsers, Loaders and Splitters and so on in a very thorough manner with enough hands-on coding.
Gen AI – RAG Application Development using LlamaIndex Course
Gen AI – RAG Application Development using LlamaIndex
This Gen AI – RAG Application Development using LlamaIndex Course uses Open AI GPT and Google Gemini APIs, LlamaIndex LLM Framework and Vector Databases like ChromaDB and Pinecone, and is intended to help you learn how to build LLM RAG applications through solid conceptual and hands-on sessions. This course covers all the basic aspects to learn LLM RAG apps and Frameworks like Agents, Tools, QueryPipelines, Retrievers, Query Engines in a crisp and clear manner.
Who this course is for:
- Developers and Programmers
- Data Scientists and AI Enthusiasts who are looking to expand their knowledge of unstructured data processing, metadata enrichment, and the creation of Retrieval-Augmented Generation (RAG) systems.
- Technical Professionals working in fields where data normalization, chunking, and hybrid search are critical, and who wish to implement robust solutions using the Unstructured framework and Vision Transformers (ViT).
- AI and ML Practitioners who are interested in leveraging cutting-edge techniques to preprocess and manage diverse document formats, such as PDFs, PowerPoints, and HTML, for enhanced machine learning and LLM applications.
Recommended Course by Paolo Dichone
Supercharge AI with Knowledge Graphs: RAG System Mastery NEW Hot & NEW
![Mastering AutoGen: Building Multi-Agent Systems [NEW]](https://couponos.me/wp-content/uploads/thumbs_dir/AI-Agent-22f8igmg2al5bmjlfz63cay0ecna6y88evl9gnl6t9zg.jpg "Unstructured Data Preprocessing for RAG Apps & LLMs - [NEW] 5")
Mastering AutoGen: Building Multi-Agent Systems [NEW]
Taught by Paulo Dichone
