LLM Fine Tuning on OpenAI from Udemy

Unleash the Potential of Tailored AI Understanding: Master the Art of Fine-Tuning AI Models Across Diverse Fields Welcome to the Advanced Realm of AI Training.

About the Course: Dive into the sophisticated world of AI and language models with our comprehensive course. Here, you'll learn how to fine-tune OpenAI's state-of-the-art language models for a variety of specialized fields. Whether you're a professional in healthcare, finance, education, or another domain, or a researcher or student keen on exploring the depths of AI language comprehension, this course is your key to mastering domain-specific AI language understanding.

Course Content: You'll begin by exploring the intricacies of domain-specific datasets, learning how to dissect and understand the unique structures and challenges they present. The course then guides you through refining these datasets to prime them for AI training. You'll gain hands-on experience in fine-tuning techniques, learning how to tweak and enhance AI models for domain-specific accuracy. We'll also cover performance evaluation, offering strategies to assess and boost your model's effectiveness in your chosen field. Moreover, the course delves into the real-world applications of your fine-tuned model, showcasing its potential across various industries.

Course Highlights: Experience practical, hands-on training with real-world data in your field of interest. Our expert-led guidance walks you through every step of dataset preparation and model tuning. You'll engage with dynamic learning tools like Jupyter Notebooks for an interactive educational experience, gaining rich insights into the challenges and solutions in training AI for specialized domains. This cost-effective training also teaches you how to estimate and manage AI training expenses efficiently.

Who Should Enroll: Professionals in various fields seeking to integrate AI tools for enhanced data analysis, researchers and students in specialized areas looking to deepen their AI knowledge, and AI enthusiasts eager to explore domain-specific model training.

Course Outcome: By the end of this course, you'll have fine-tuned a sophisticated language model, boosting its proficiency in your specific area of interest. You'll possess the skills to navigate and utilize AI across various sectors, paving the way for innovative applications and research opportunities.

Enroll now and begin your journey towards mastering domain-specific AI and transforming industries with your expertise.

What's inside

Learning objectives

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.

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.

Syllabus

Let's get you set up with the course and OpenAI!

COURSE FAQs and DOWNLOADS HERE

Course Welcome

How LLM Fine-Tuning Works

OpenAI Account and API Key

Learn how to use the Python OpenAI API to perform fine tuning on an LLM

Dataset Processing

Dataset Statistics

Data Formatting

Training

Visualizing Losses

Application of Fine Tuned Model

Let's explore the same fine tuning process but via the online portal!

OpenAI Platform Fine-Tuning GUI

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores cutting-edge artificial intelligence models and techniques, which is standard in industry

Taught by Jose Portilla, who are recognized for their work in AI and language modeling

Develops skills in fine-tuning AI models for specialized applications, which are core skills for data scientists and AI engineers

Examines real-world applications of fine-tuned AI models across multiple industries, which is highly relevant to professionals seeking to integrate AI into their work

Provides hands-on labs and interactive materials, which enhance the learning experience

Career center

Learners who complete LLM Fine Tuning on OpenAI will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

A Natural Language Processing Engineer develops and applies techniques to enable computers to understand and generate human language. This course will help you build a strong foundation in natural language processing, including language modeling, text classification, and sentiment analysis.

See salaries and explore the career path for Natural Language Processing Engineer

Language Model Developer

A Language Model Developer designs and develops language models that can understand and generate human language. This course will help you build a strong foundation in language modeling, including natural language processing, machine learning, and artificial intelligence.

See salaries and explore the career path for Language Model Developer

Language Technology Researcher

A Language Technology Researcher conducts research in the field of language technology. This course will help you build a strong foundation in language technology, including natural language processing, machine learning, and artificial intelligence.

See salaries and explore the career path for Language Technology Researcher

Natural Language Understanding Specialist

A Natural Language Understanding Specialist designs and develops systems that can understand the meaning of text and speech. This course will help you build a strong foundation in natural language understanding, including natural language processing, machine learning, and artificial intelligence.

See salaries and explore the career path for Natural Language Understanding Specialist

Machine Translation Specialist

A Machine Translation Specialist designs and develops systems to automatically translate text from one language to another. This course will help you build a strong foundation in machine translation, including natural language processing, machine learning, and linguistics.

See salaries and explore the career path for Machine Translation Specialist

Question Answering Specialist

A Question Answering Specialist designs and develops question answering systems that can answer questions from natural language text. This course will help you build a strong foundation in question answering, including information retrieval, natural language understanding, and machine learning.

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Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models to solve real-world problems. This course may be useful in helping you build a foundation for the skills used by a Machine Learning Engineer, including data preprocessing, model selection, and performance evaluation.

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Artificial Intelligence Researcher

An Artificial Intelligence Researcher conducts research in the field of artificial intelligence. This course may be useful in helping you build a foundation for the skills used by an Artificial Intelligence Researcher, such as designing and evaluating machine learning algorithms and models.

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Machine Learning Scientist

A Machine Learning Scientist conducts research and develops machine learning algorithms and models. This course may be useful in helping you build a foundation for the skills used by a Machine Learning Scientist, including data analysis and interpretation, as well as understanding and using machine learning models.

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Information Retrieval Specialist

An Information Retrieval Specialist designs and develops systems to help users find relevant information from large collections of documents. This course will help you build a strong foundation in information retrieval, including natural language processing, machine learning, and data mining.

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Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful in helping you build a foundation for the skills used by a Data Scientist, including data analysis and interpretation, as well as understanding and using machine learning models.

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Text Summarization Specialist

A Text Summarization Specialist designs and develops systems to automatically generate concise summaries of text documents. This course will help you build a strong foundation in text summarization, including natural language processing, machine learning, and information extraction.

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Dialogue Systems Specialist

A Dialogue Systems Specialist designs and develops systems that can engage in natural language conversations with humans. This course will help you build a strong foundation in dialogue systems, including natural language processing, machine learning, and artificial intelligence.

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Computational Linguist

A Computational Linguist applies computational techniques to the study of language. This course will help you build a foundation in computational linguistics, including natural language understanding, machine translation, and speech recognition.

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Speech Recognition Engineer

A Speech Recognition Engineer develops and applies techniques to enable computers to understand spoken language. This course will help you build a strong foundation in speech recognition, including feature extraction, acoustic modeling, and language modeling.

See salaries and explore the career path for Speech Recognition Engineer