Introduction to Large Language Models (LLMs) In Python
- Category Other
- Type Tutorials
- Language English
- Total size 1.3 GB
- Uploaded By freecoursewb
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Introduction to Large Language Models (LLMs) In Python 
https://FreeCourseWeb.com
Published 9/2023
Created by Minerva Singh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 2h 45m ) | Size: 1.3 GB
Develop Your Own Document-Reading Virtual Assistant With LLMs
What you'll 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
Requirements
Prior experience of using Jupyter notebooks
Prior exposure to Natural Language Processing (NLP) concepts will be helpful but not compulsory
An interest in using Large Language Models (LLMs) for your own documents
Files:
[ FreeCourseWeb.com ] Introduction to Large Language Models (LLMs) In Python- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction To The Course
- 1. Welcome To the Course.mp4 (30.3 MB)
- 2. Data and Code.html (0.4 KB)
- 3. Python Installation.mp4 (42.6 MB)
- 4. Start With Google Colaboratory Environment.mp4 (40.4 MB)
- 5. Google Colabs and GPU.mp4 (30.2 MB)
- 6. Installing Packages In Google Colab.mp4 (28.6 MB)
- 7. Another Cloud To Work In Saturn Cloud.mp4 (48.3 MB)
- 8. Say Hello To The Saturn Interface.mp4 (30.3 MB)
- 9. Brain Fail Dealing With Memory Problems.mp4 (14.9 MB)
- 1. What Is a Document Reading Virtual Assistant.mp4 (21.1 MB)
- 2. Get Access To the OpenAI API.mp4 (18.6 MB)
- 3. Introduction to LangChain.mp4 (36.7 MB)
- 1. Read in a Single PDF.mp4 (17.2 MB)
- 2. Read In Multiple PDFs.mp4 (71.2 MB)
- 3. A More Straightforward Way To Read in Multiple PDFs.mp4 (37.1 MB)
- 4. Learn More About Your Documents Why We Need A Preliminary NLP Analysis.mp4 (19.0 MB)
- 5. Entity Matching.mp4 (90.8 MB)
- 6. Keyword Extraction.mp4 (79.8 MB)
- 7. What Is TF-IDF.mp4 (22.9 MB)
- 8. Text Similarity.mp4 (74.1 MB)
- 1. Overview-The Summarisation Process.mp4 (34.9 MB)
- 2. Abstract Summarizer.mp4 (62.3 MB)
- 3. Answer Questions Based On Given Text-LangChain.mp4 (69.9 MB)
- 4. Theoretical Undepinnings.mp4 (25.0 MB)
- 5. Answer Questions With Llama-Index.mp4 (35.6 MB)
- 1. What Is Prompt Engineering.mp4 (40.0 MB)
- 2. Prompt Engineering With Langchain.mp4 (64.2 MB)
- 1. Introduction to Numpy.mp4 (29.9 MB)
- 2. What Is Pandas.mp4 (74.9 MB)
- 3. Basic Data Cleaning With Pandas.mp4 (34.4 MB)
- 4. Basic Principles of Data Visualisation.mp4 (73.9 MB)
- Bonus Resources.txt (0.4 KB)
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