Free Download Query Your Custom Documents using LlamaIndexPublished 6/2023
Created by Praveen Singh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 33 Lectures ( 1h 48m ) | Size: 1 GB
Learn to build LLM applications using LlamaIndex from scratch in Python
What you'll learn
Become proficient in LlamaIndex
Learn to query your custom documents using LlamaIndex
Get the understanding of different aspects of LlamaIndex
Get the understanding of different concepts of Large Language Models
Requirements
Basic Python programming experience is required.
Description
Welcome to this introductory course on LlamaIndex, a powerful tool for indexing and querying data using large language models such as OpenAI's API.In this course, you will learn the basics of LlamaIndex and how to use it to index your data for various natural language processing tasks such as summarization, and question answering. You will also learn how to perform queries on your indexed data and how to integrate LlamaIndex with different LLM models.The course is designed for beginners with some prior knowledge of Python programming. You should be comfortable writing and understanding basic Python code and be familiar with package installers such as pip and development environments such as Visual Studio Code.The course is designed for beginners and no prior knowledge of LlamaIndex or natural language processing is required. Through a series of hands-on exercises and practical examples, you will gain a solid understanding of LlamaIndex and its capabilities.By the end of this course, you will be able to:Understand the basics of LlamaIndex and its architectureIndex your data for various natural language processing tasksPerform queries on your indexed dataLearn to pass custom LLM modelLearn to integrate with Vector DatabaseEnroll now and start your journey with LlamaIndex!
Who this course is for
Complete beginner tech enthusiasts looking to build LLM applications
Homepage
https://www.udemy.com/course/query-your-custom-documents-using-llamaindex/
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