Download Introduction to Large Language Models (LLMs) In Python torrent

Introduction to Large Language Models (LLMs) In Python

Torrent:	Introduction to Large Language Models (LLMs) In Python
Description:	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
Downloads:	116
Category:	Other /Tutorials
Size:	1.3 GB
Show 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) 2. Get Started With The LLMs and Their Infrastructure 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) 3. Start Reading in and Exploring Data 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) 4. Use LLMs To Learn From Your Text 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) 5. Preliminary Prompt Engineering 1. What Is Prompt Engineering.mp4 (40.0 MB) 2. Prompt Engineering With Langchain.mp4 (64.2 MB) 6. Basic Python Primer 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) files
Added:	2023-09-21 15:16:10
Language:	English
Peers:	Seeders : 21 , Leechers : 8
Release name:	Introduction to Large Language Models (LLMs) In Python
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