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Description of  LLM Fine Tuning on OpenAI

0000000000 VIDEO 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: 560 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 Description Who this course is for Experienced Python developers looking to learn how to fine-tune OpenAI LLMs