Udemy - LLM Fine Tuning on OpenAI

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[ DevCourseWeb.com ] Udemy - LLM Fine Tuning on OpenAI
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Course Overview
    • 1. COURSE FAQs and DOWNLOADS HERE.html (1.9 KB)
    • 2. Course Welcome.mp4 (17.7 MB)
    • 3. How LLM Fine-Tuning Works.mp4 (86.1 MB)
    • 4. OpenAI Account and API Key.mp4 (84.9 MB)
      • LLM-Fine-Tuning-UNZIP_ME
      • Custom_Tuning.ipynb (106.6 KB)
      • PTCenteredPurple.png (16.7 KB)
      • fine_tuning_data.jsonl (1.5 MB)
      • fine_tuning_data_val.jsonl (99.1 KB)
      • medical_reports.csv (14.6 MB)
      • reports.csv (6.1 MB)
      • reports_copy.csv (6.1 MB)
      2. LLM Fine Tuning via OpenAI API
      • 1. Dataset Processing.mp4 (101.3 MB)
      • 2. Dataset Statistics.mp4 (61.2 MB)
      • 3. Data Formatting.mp4 (89.6 MB)
      • 4. Training.mp4 (65.2 MB)
      • 5. Visualizing Losses.mp4 (59.8 MB)
      • 6. Application of Fine Tuned Model.mp4 (75.0 MB)
      3. Fine Tuning via OpenAI Platform GUI
      • 1. OpenAI Platform Fine-Tuning GUI.mp4 (11.1 MB)
      • 2. Comparison to Baseline GPT Model.html (0.1 KB)
      • Bonus Resources.txt (0.4 KB)

Description

LLM Fine Tuning on OpenAI

https://DevCourseWeb.com

Published 11/2023
Created by Jose Portilla
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 49m ) | Size: 660 MB

Learn to use OpenAI to fine tune LLMs on your own datasets!

What you'll learn
Gain a comprehensive understanding of the fundamental principles and advanced concepts in artificial intelligence and language modeling.
Explore various datasets specific to different fields, learning how to identify and understand their unique structures and challenges.
Recognize and understand the various strategies and techniques used in fine-tuning language models for specialized applications.
Master the skills necessary to preprocess datasets effectively, ensuring they are in the ideal format for AI training.
Delve into various methods to enhance the accuracy and efficiency of AI models for specific domains.
Learn to assess the proficiency of fine-tuned models using different evaluation metrics and methods.
Investigate the vast potential of fine-tuned AI models in practical, real-world scenarios across multiple industries.
Acquire knowledge on how to estimate and manage the costs associated with AI model training, making the process efficient and economical.

Requirements
Python experience required, including pandas and basic API knowledge
Experience with the OpenAI API basics



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Udemy - LLM Fine Tuning on OpenAI
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