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Mastering Generative AI: LLMs, Prompt Engineering & More!
Published 9/2024
Created by Satyajit Pattnaik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 154 Lectures ( 33h 44m ) | 18.2 GB[/center]
Complete Guide to Building, and Deploying Generative AI

What you'll learn:
Build a solid foundation in Python programming to effectively implement AI concepts and applications.
Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.

Requirements:
No pre-requisites





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