Udemy - Fine-tuning and Adapting GenAI Models in English

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[ FreeCourseWeb.com ] Udemy - Fine-tuning and Adapting GenAI Models in English
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 -Introduction.mp4 (21.6 MB)
    • 2 -Fine Tuning English Generative AI.mp4 (55.4 MB)
    • 3 -Some Terms.mp4 (45.8 MB)
    • 4 - Data and Code.html (0.6 KB)
    • 4 -What is Google Colab.mp4 (40.4 MB)
    • 5 -Google Colabs and GPU.mp4 (30.2 MB)
    • 6 -Installing Packages In Google Colab.mp4 (28.6 MB)
    • 7 -Read In a PDF.mp4 (17.2 MB)
    • 8 -Read in Multiple PDFs.mp4 (71.1 MB)
    2 - Introduction To Generative AI
    • 1 -What is Generative AI (Gen AI).mp4 (39.3 MB)
    • 10 -Access and Use Other LLMs Via Hugging Face.mp4 (37.0 MB)
    • 11 -Access Mistral LLM With Hugging Face.mp4 (45.4 MB)
    • 12 -LLMs via GCP.mp4 (35.4 MB)
    • 2 -More on Gen AI.mp4 (71.2 MB)
    • 3 -How Does Gen AI Work.mp4 (43.6 MB)
    • 4 -Gen AI Models.mp4 (39.3 MB)
    • 5 -What are GPTs.mp4 (17.3 MB)
    • 6 -Interplays Between Gen-AI and LLMs.mp4 (111.1 MB)
    • 7 -Introduction to Open API.mp4 (18.5 MB)
    • 8 -Other Large Language Models (LLMs).mp4 (32.0 MB)
    • 9 -Start With Hugging Face.mp4 (19.8 MB)
    3 - Start With LLMs
    • 1 -LLM Workflow.mp4 (13.8 MB)
    • 2 -Summarisation Overview.mp4 (34.9 MB)
    • 3 -Working of Langchain.mp4 (25.0 MB)
    • 4 -QAs With Langchain.mp4 (70.0 MB)
    • 5 -Introduction to Llama For Asking Questions.mp4 (35.6 MB)
    • 6 -Prompt.mp4 (40.0 MB)
    • 7 -More on Prompting.mp4 (34.6 MB)
    4 - Fine Tuning LLMs
    • 1 -LLMOps Theory.mp4 (21.5 MB)
    • 10 -Setting Up Soft-Prompting Analysis.mp4 (33.9 MB)
    • 11 -Implement Soft-Prompting.mp4 (18.6 MB)
    • 2 -Introduction to Fine Tuning Concepts.mp4 (72.4 MB)
    • 3 -Quantization.mp4 (41.1 MB)
    • 4 -QLoRA-Prepare Your Data.mp4 (34.5 MB)
    • 5 -QLoRA-Tokenization.mp4 (23.0 MB)
    • 6 -QLoRA Quantization.mp4 (34.3 MB)
    • 7 -SGD Theory.mp4 (28.1 MB)
    • 8 -SGD Implementation For LLM Optimisation.mp4 (32.5 MB)
    • 9 -What is Soft Prompting.mp4 (46.9 MB)
    5 - RAGs As a Fine Tuning Mechanism
    • 1 -Pitfalls of LLMs Hallucinations.mp4 (21.1 MB)
    • 2 -RAG Theory.mp4 (59.9 MB)
    • 3 -RAG Intro.mp4 (3.3 MB)
    • 4 -RAG x.mp4 (36.3 MB)
    • 5 -Prepare External Text Data For Use in PDFs.mp4 (22.1 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Fine-tuning and Adapting GenAI Models in English

https://FreeCourseWeb.com

Published 12/2024
Created by Minerva Singh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 5m ) | Size: 1.56 GB

Master Techniques to Customize, Optimize, and Deploy Generative AI Models for Real-World Applications

What you'll learn
Learn to use Google Colab for unleashing the power of Python's text analysis and deep learning ecosystem
Introduction to the theory and implementation of LLMs and Generative AI
Get acquainted with common Large Language Model (LLM) frameworks including LangChain
Introduction to the theory and implementation of LLM Optimization
Introduction to optimization techniques such as soft prompting
Introduction to RAGs

Requirements
Prior experience of using Jupyter notebooks
Prior exposure to NLP and generative AI Concepts
Prior exposure to LLMs



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Udemy - Fine-tuning and Adapting GenAI Models in English

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1.6 GB
seeders:11
leechers:25
Udemy - Fine-tuning and Adapting GenAI Models in English

Torrent hash: 6E17A9FEAA05EB6F4B509E431BE229DC596D4A3F