Description
Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications. This course is designed to teach advanced concepts of large language models and practical implementations of retrieval augmented generation technology for building AI applications. Its primary audience is engineers, solution architects, and software developers responsible for building enterprise applications. The course, offered by Pragmatic AI Labs and taught by Guy Ernst, covers the fundamental and advanced topics required to apply RAG to large language models, including text encoding using embedded vectors, document segmentation with enrichment strategies, and information retrieval optimization. By the end of this course, participants will have acquired the practical skills necessary to exploit RAG capabilities, allowing them to apply language models beyond their basic capabilities and, by extracting information from specific organizational databases, produce accurate and relevant answers that are essential for organizational applications. This course is considered an important step towards advancement in the field of applied artificial intelligence.
What you will learn
- Recovery-based Augmentative Generation (RAG):
- Mastery of fundamental and advanced RAG concepts for use in LLMs.
- Artificial Intelligence (AI) and LLM:
- Gain a deep understanding of how RAG works in combination with Large Language Models (LLM) to solve complex problems.
- Encoding and embedded vectors:
- Learn to encode text using embedded vectors.
- Preparation of documents:
- Familiarity with document chunking techniques and enrichment strategies for data optimization.
- Data recovery:
- Gain skills in improving the document retrieval process to ensure the accuracy and relevance of responses generated by LLM.
This course is suitable for people who:
- Software engineers and developers tasked with building AI-based enterprise applications.
- Solutions Architects looking to integrate LLMs and RAG into technology infrastructure.
- Technical professionals who want to learn about the latest AI-based tools and techniques, especially RAG, in building advanced applications.
- Anyone looking to gain practical skills to leverage the power of RAG and enhance LLM capabilities in the workplace.
Course Description Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications
- Publisher: LinkedIn
- Instructor: Pragmatic AI Labs , Guy Ernest
- Training level: Advanced
- Training duration: 1 hour and 47 minutes
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
374 MB
