| 1. Introduction to Numpy.mp4 | 29.9 MB | ||
| 1. Overview-The Summarisation Process.mp4 | 34.9 MB | ||
| 1. Read in a Single PDF.mp4 | 17.2 MB | ||
| 1. Welcome To the Course.mp4 | 30.3 MB | ||
| 1. What Is Prompt Engineering.mp4 | 40 MB | ||
| 1. What Is a Document Reading Virtual Assistant.mp4 | 21.1 MB | ||
| 2. Abstract Summarizer.mp4 | 62.3 MB | ||
| 2. Data and Code.html | 409.6 B | ||
| 2. Get Access To the OpenAI API.mp4 | 18.6 MB | ||
| 2. Prompt Engineering With Langchain.mp4 | 64.2 MB | ||
| 2. Read In Multiple PDFs.mp4 | 71.2 MB | ||
| 2. What Is Pandas.mp4 | 74.9 MB | ||
| 3. A More Straightforward Way To Read in Multiple PDFs.mp4 | 37.1 MB | ||
| 3. Answer Questions Based On Given Text-LangChain.mp4 | 69.9 MB | ||
| 3. Basic Data Cleaning With Pandas.mp4 | 34.4 MB | ||
| 3. Introduction to LangChain.mp4 | 36.7 MB | ||
| 3. Python Installation.mp4 | 42.6 MB | ||
| 4. Basic Principles of Data Visualisation.mp4 | 73.9 MB | ||
| 4. Learn More About Your Documents Why We Need A Preliminary NLP Analysis.mp4 | 19 MB | ||
| 4. Start With Google Colaboratory Environment.mp4 | 40.4 MB | ||
| 4. Theoretical Undepinnings.mp4 | 25 MB | ||
| 5. Answer Questions With Llama-Index.mp4 | 35.6 MB | ||
| 5. Entity Matching.mp4 | 90.8 MB | ||
| 5. Google Colabs and GPU.mp4 | 30.2 MB | ||
| 6. Installing Packages In Google Colab.mp4 | 28.6 MB | ||
| 6. Keyword Extraction.mp4 | 79.8 MB | ||
| 7. Another Cloud To Work In Saturn Cloud.mp4 | 48.3 MB | ||
| 7. What Is TF-IDF.mp4 | 22.9 MB | ||
| 8. Say Hello To The Saturn Interface.mp4 | 30.3 MB | ||
| 8. Text Similarity.mp4 | 74.1 MB | ||
| 9. Brain Fail Dealing With Memory Problems.mp4 | 14.9 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 33 total files | |||
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
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| 649 MB | freecoursewb | 1 day | 0 | 0 | |
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