Udemy – LLMs Workshop: Practical Exercises of Large Language Models 2024-4

Udemy – LLMs Workshop: Practical Exercises of Large Language Models 2024-4 Downloadly IRSpace

Udemy – LLMs Workshop: Practical Exercises of Large Language Models 2024-4
Udemy – LLMs Workshop: Practical Exercises of Large Language Models 2024-4

LLMs Workshop: Practical Exercises of Large Language Models, Dive into the revolutionary world of Large Language Models (LLMs) with our comprehensive 4-hour workshop, designed to bridge the gap between theoretical knowledge and practical skills. Whether you’re a budding data scientist, an AI enthusiast, or a seasoned professional looking to expand your toolkit, this course is tailored to empower you with hands-on experience in leveraging LLMs for a variety of real-world applications. This course is perfect for individuals looking to deepen their understanding of LLMs and apply these models in innovative ways. Ideal for AI professionals, data scientists, and researchers eager to expand their skills and apply LLMs to solve complex problems.

What you’ll learn

  • Deep Learning
  • Transformers
  • Langchain
  • Large Language Models

Who this course is for

  • Deep learning Engineers
  • Deep Learning enthusiasts
  • Machine Learning Engineers
  • Artificial intelligence Engineers

Specificatoin of LLMs Workshop: Practical Exercises of Large Language Models

  • Publisher : Udemy
  • Teacher : Omar Elgendy
  • Language : English
  • Level : All Levels
  • Number of Course : 26
  • Duration : 3 hours and 57 minutes

Content of LLMs Workshop: Practical Exercises of Large Language Models

LLMs Workshop_ Practical Exercises of Large Language Models

Requirements

  • Python Knowledge
  • Basic Deep Learning Knowledge
  • Transformers knowledge is desirable

Pictures

LLMs Workshop_ Practical Exercises of Large Language Models

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

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Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 638 MB

File size

1.62 GB