Download Udemy – LLM – Fine tune with custom data 2024-2

LLM - Fine tune with custom data


LLM – Fine tune with custom data, the training course for fine tuning of GPT 3.5 Turbo models using OpenAI has been published by Yudemy Academy. If you are interested in taking your machine learning skills to the next level, this course is for you. Get ready to embark on a learning journey that empowers you to tailor language models to custom datasets, opening up a realm of possibilities for innovation and creativity. At first, you will get acquainted with the structure and objectives of the course. We will explore the importance of fine-tuning in improving language models and explore the underlying models that provide the context for customization. Explore the reasons for the need for fine-tuning and explore different strategies, including understanding critical model parameters. Gain a comprehensive understanding of advanced principles and concepts in artificial intelligence and language modeling. This section focuses on practical applications. Explore available models and their uses, followed by essential steps in preparing and formatting sample data. Understand token counting and learn about potential issues like alerts and cost management. Gain a comprehensive understanding of the fine-tuning process, distinguishing between training and validation data. Learn to upload data to OpenAI, create a fine-tuning task, and ensure quality assurance for your model.

What you will learn

  • Understanding fine-tuning against training data
  • Fine tuning using GPT models, GPT 3.5 Turbo models, Open AI models
  • Prepare, create and upload training and validation datasets
  • Fine tuning using the Gradient platform
  • Creating the Elon Mush tweet generator
  • Build a fine-tuned data mining model

Who is this course suitable for?

  • Anyone who wants to explore the world of artificial intelligence
  • Anyone who wants to enter the world of artificial intelligence with fine-tuning models
  • Data engineers, database administrators, and data professionals curious about the emerging field of model fine-tuning
  • Software developers interested in integrating their data into big language models
  • Data scientists and machine learning engineers.

Details of the LLM course – Fine tune with custom data

  • Publisher: Udemy
  • teacher : Adnan Waheed
  • English language
  • Education level: introductory
  • Number of courses:
  • Training duration: 3 hours and 15 minutes

Head of the course seasons on 2024-3

Course prerequisites


LLM - Fine tune with custom data

Sample video

Installation guide

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download link

Download part 1 – 1 GB

Download part 2 – 881 MB

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1.86 GB

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