Udemy – Introduction to Large Language Models (LLMs) in Python 2023-9 – Downloadly

Description

Course introduction to Large Language Models (LLMs) in Python. “Introduction to Large Language Models (LLM) in Python.” This course focuses on LLM frameworks such as OpenAI, LangChain, and LLMA-Index and allows you to create your own virtual assistant to read documents. Whether you are new to LLM or want to improve your AI skills, this course provides a valuable opportunity to explore advanced areas of AI. Course highlights:

– Cloud-based Python environment: Leverage the power of Saturn Cloud, a cloud-based Python environment, to run robust LLM implementations.

– Practical Text Analysis: Learn to implement essential natural language processing (NLP) techniques, including entity recognition and keyword extraction, to deconstruct text documents.

– Using LLM frameworks: Discover standard techniques for LLM frameworks, including LangChain, OpenAI, and LLAMA index for abstraction and query.

By enrolling on this course, you will begin your journey to becoming an expert in harnessing the potential of text data using Large Language Models (LLM). From the perspective of our experienced tutor, who holds an MA from the University of Oxford and a data-driven PhD from the University of Cambridge, you will receive the guidance you need to master the complexities of undertaking an LLM. Beyond the course content, you will benefit from ongoing support that will ensure you get the most value from your investment. Join our learning community, immerse yourself in the LLM Analytics and develop your expertise in artificial intelligence and data science.

What you will learn in the Introduction to Large Language Models (LLMs) in Python course

  • Learn to work with Jupyter notebooks in a brand new cloud ecosystem – Saturn Cloud

  • Read multiple PDF files in Python

  • Implementation of common natural language processing (NLP) techniques, including entity recognition and keyword extraction.

  • Learn about popular Large Language Model (LLM) frameworks, including LangChain

  • Implement LLM frameworks for summarizing abstracts and answering questions

This course is suitable for people who

  • Students who have previously been exposed to NLP analysis
  • Those interested in using LLM frameworks to learn more about their writing
  • Students and employees of artificial intelligence (AI).

Introduction to Large Language Models (LLMs) in Python

  • Editor: Udemy
  • Lecturer: Minerva Singh
  • Training level: beginner to advanced
  • Training duration: 2 hours and 45 minutes
  • Number of courses: 31

Course headings

Introduction to Large Language Models (LLMs) in Python

Prerequisites for the course “Introduction to Large Language Models (LLMs) in Python”.

  • Previous knowledge of using Jupyter notebooks
  • A previous understanding of natural language processing (NLP) concepts is helpful but not essential
  • Interested in using Large Language Models (LLMs) for your own documents

Course pictures

Introduction to Large Language Models (LLMs) in Python

Sample video of the course

installation Guide

After extracting, you can watch it with your favorite player.

Subtitles: None

Quality: 720p

Download link

Download Part 1 – 1 GB

Download Part 2 – 150 MB

free download software

Size

1.1GB

free download software latest version