Code, Relatedness, & Fine-tuning with OpenAI

OpenAI API    |    Intermediate
  • 14 videos | 1h 21m 45s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 2 users Rating 5.0 of 2 users (2)
OpenAI's potential to increase productivity really shows when it comes to generating, completing partially provided code, or fixing already written code. Other handy features are using embeddings to measure or determine relatedness and fine-tuning a model to solve domain-specific problems. In this course, you will explore OpenAI's code generation and completion application programming interface (API). You will discover how to generate code from comments or complete partially provided code and how to use OpenAI to find libraries to solve problems or rewrite code. Next, you will focus on sentiment analysis and the tone of text and how to use embeddings for searching, clustering, recommending, and classifying. Then, you will examine OpenAI fine-tuning. Finally, you will create and fine-tune a customer-facing chatbot to handle specific scenarios.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe the benefits, features, and capabilities of openai's code generation and completion application programming interface (api)
    Generate code from comments or complete code that is partially provided
    Use openai to find libraries to solve problems, add comments to code, or rewrite code
    Work with the sentiment analysis api to get feedback about the tone of text
    Describe how embeddings can be used for searching, clustering, recommending, and classifying by measuring relatedness
    Use embeddings to handle relatedness in terms of clustering and making recommendations
  • Create similarity measurements and apply classifications to text
    Describe the features of fine-tuning and identify how fine-tuning can be used to customize a model
    Use fine-tuning to create a custom classification feature
    Apply fine-tuning and sentiment analysis to separate by categories
    Create a simple customer-facing chatbot that can answer questions
    Use fine-tuning to customize a chatbot to handle specific scenarios or questions
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 44s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 14s
    After completing this video, you will be able to describe the benefits, features, and capabilities of OpenAI's code generation and completion application programming interface (API). FREE ACCESS
  • Locked
    3.  Using Code Generation and Completion
    7m 19s
    In this video, find out how to generate code from comments or complete code that is partially provided. FREE ACCESS
  • Locked
    4.  Applying Code Augmentation Features
    7m 49s
    Learn how to use OpenAI to find libraries to solve problems, add comments to code, or rewrite code. FREE ACCESS
  • Locked
    5.  Using Sentiment Analysis on Text
    6m 45s
    During this video, discover how to work with the sentiment analysis API to get feedback about the tone of text. FREE ACCESS
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    6.  OpenAI Embeddings and Relatedness
    6m 36s
    Upon completion of this video, you will be able to describe how embeddings can be used for searching, clustering, recommending, and classifying by measuring relatedness. FREE ACCESS
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    7.  Using Embeddings for Clustering and Recommendations
    6m 23s
    Find out how to use embeddings to handle relatedness in terms of clustering and making recommendations. FREE ACCESS
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    8.  Generating Similarity Measurements and Classifications
    7m 22s
    In this video, you will learn how to create similarity measurements and apply classifications to text. FREE ACCESS
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    9.  OpenAI Fine-tuning
    6m 4s
    After completing this video, you will be able to describe the features of fine-tuning and identify how fine-tuning can be used to customize a model. FREE ACCESS
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    10.  OpenAI Fine-tuning for Classification
    6m 29s
    Upon completion of this video, you will be able to use fine-tuning to create a custom classification feature. FREE ACCESS
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    11.  OpenAI Fine-tuning for Triage Email
    6m 16s
    After completing this video, you will be able to apply fine-tuning and sentiment analysis to separate by categories. FREE ACCESS
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    12.  Creating a Simple Customer-facing Chatbot
    6m 16s
    Discover how to create a simple customer-facing chatbot that can answer questions. FREE ACCESS
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    13.  Fine-tuning Chatbots
    6m 32s
    Upon completion of this video, you will be able to use fine-tuning to customize a chatbot to handle specific scenarios or questions. FREE ACCESS
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    14.  Course Summary
    54s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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