Introduction to Large Language Models (LLMs) In Python

Develop Your Own Document-Reading Virtual Assistant With LLMs

4.46 (1683 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

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

Read in multiple PDFs into Python

Implement common natural language processing (NLP) techniques including entity recognition and keyword extraction

Get acquainted with common Large Language Model (LLM) frameworks including LangChain

Implement LLM frameworks for abstract summarisation and answering questions

Course Gallery

Introduction to Large Language Models (LLMs) In Python – Screenshot 1 — Screenshot 1 – Introduction to Large Language Models (LLMs) In Python

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Introduction to Large Language Models (LLMs) In Python – Screenshot 3 — Screenshot 3 – Introduction to Large Language Models (LLMs) In Python

Introduction to Large Language Models (LLMs) In Python – Screenshot 4 — Screenshot 4 – Introduction to Large Language Models (LLMs) In Python

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Rating & Reviews

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Comidoc Review

Our Verdict

This course on Large Language Models (LLMs) in Python dives deep into the world of LLMs, covering frameworks such as LangChain and their practical applications. The real-world projects offer valuable hands-on experience, yet there's room for improvement in terms of presentation and clear explanations. While it addresses unique topics like security challenges, some users may find parts of the course confusing due to missing details or a lack of proper introductions to certain tools.

What We Liked

Covers a range of LLM frameworks including LangChain, with practical applications in document-reading virtual assistants
Well-structured and educational, providing a solid foundation in LLMs
Includes real-world projects that allow for hands-on experience
Addresses unique topics such as quick engineering and security challenges of hosting LLM apps in production

Potential Drawbacks

Presentation could be improved, with more explicit explanations of the intent behind the code
Lacks proper introductions to certain tools and frameworks, assuming prior knowledge or completion of previous courses
Some important functions or details were missed out during instruction
Occasional issues with code not functioning as shown

5473820

udemy ID

30/07/2023

course created date

09/09/2023

course indexed date

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