Advanced ChatGPT Techniques: API Integration and Open-Source Solutions

Course description

This is an advanced course on how to leverage the ChatGPT API to solve diverse tasks related to generating database, backend and data processing code. It also covers ChatGPT limitations and how to enhance its functionality through integration with third-party APIs. The final part of the course expands on using open-source alternatives for deploying similar models on premise.

Every student has assigned to him his own virtual lab environment setup.

Duration

This course takes place over 2 working days.

What will you learn

● Learn how to use ChatGPT for specialized tasks like manipulating SQL data, defining API endpoints through Flask.
● Learn how to integrate ChatGPT in your scripts.
● Learn how to build applications around ChatGPT.
● Learn how to use pre-trained models from HuggingFace.
● Learn how to leverage hosted and on-prem HuggingFace models.

Target audience

This course is suitable for:

• Developers, programmers, sys admins looking to incorporate ChatGPT into their projects.
• Developers, programmers who want to learn more about AI and natural language processing.
• Professionals who want to learn advanced topics on how to use ChatGPT to improve their workflow and achieve more in less time.

Prerequisites:

Familiarity with the concept of APIs and the basics of the Python programming language is encouraged.

While not mandatory, it is recommended  to attend the course Basics of ChatGPT Development and Automation before enrolling in this course

Module 1: ChatGPT Review

  • Interacting with the interface
  • Enhancing development experience
  • Comparison to other models: BERT, GPT and T5

Module 2: ChatGPT for specialized tasks

  • What tasks are best suited for ChatGPT automation?
  • Creating a static HTML site
  • Defining simple API endpoints through Flask
  • Manipulating complex data through SQL
  • Getting insights from Excel/CSV files through Pandas

Hands-on Lab

Module 3: ChatGPT API

  • Calling ChatGPT from a Python script
  • Handling Conversations
  • Integrating ChatGPT in scripts

Hands-on Lab

Module 4: Building applications around ChatGPT

  • ChatGPT limitations
  • Compensating for limitations through external APIs
  • Knowledge completion through the Wikipedia API
  • Advanced mathematics through the WolframAlpha API

Hands-on Lab

Module 5: The need for an on-prem chatGPT: the HuggingFace ecosystem

  • The problem with closed-source APIs
  • Jackhammers vs toolboxes: why using the right tool matters
  • Testing out a text/image generation model in the browser

Hands-on Lab

Module 6: Leveraging hosted and on-prem HuggingFace models

  • Testing applications without the boilerplate
  • Integrating an API endpoint in your application
  • Moving a model to your own infrastructure
  • Staying In the Loop: HuggingFace Spaces

Hands-on Lab

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Advanced ChatGPT Techniques: API Integration and Open-Source Solutions

Price On-Demand
  • DURATION: 2 days
  • SKILL LEVEL: Associate
  • LECTURES: 6 lessons

Register
  • PRICE: On-Demand
  • DURATION: 2 days
  • SKILL LEVEL: Associate
  • LECTURES: 6 lessons

Course description:

This is an advanced course on how to leverage the ChatGPT API to solve diverse tasks related to generating database, backend and data processing code. It also covers ChatGPT limitations and how to enhance its functionality through integration with third-party APIs. The final part of the course expands on using open-source alternatives for deploying similar models on premise.

Every student has assigned to him his own virtual lab environment setup.

Duration

This course takes place over 2 working days.

What will you learn

● Learn how to use ChatGPT for specialized tasks like manipulating SQL data, defining API endpoints through Flask.
● Learn how to integrate ChatGPT in your scripts.
● Learn how to build applications around ChatGPT.
● Learn how to use pre-trained models from HuggingFace.
● Learn how to leverage hosted and on-prem HuggingFace models.

Target audience

This course is suitable for:

• Developers, programmers, sys admins looking to incorporate ChatGPT into their projects.
• Developers, programmers who want to learn more about AI and natural language processing.
• Professionals who want to learn advanced topics on how to use ChatGPT to improve their workflow and achieve more in less time.

Prerequisites:

Familiarity with the concept of APIs and the basics of the Python programming language is encouraged.

While not mandatory, it is recommended  to attend the course Basics of ChatGPT Development and Automation before enrolling in this course

Module 1: ChatGPT Review

  • Interacting with the interface
  • Enhancing development experience
  • Comparison to other models: BERT, GPT and T5

Module 2: ChatGPT for specialized tasks

  • What tasks are best suited for ChatGPT automation?
  • Creating a static HTML site
  • Defining simple API endpoints through Flask
  • Manipulating complex data through SQL
  • Getting insights from Excel/CSV files through Pandas

Hands-on Lab

Module 3: ChatGPT API

  • Calling ChatGPT from a Python script
  • Handling Conversations
  • Integrating ChatGPT in scripts

Hands-on Lab

Module 4: Building applications around ChatGPT

  • ChatGPT limitations
  • Compensating for limitations through external APIs
  • Knowledge completion through the Wikipedia API
  • Advanced mathematics through the WolframAlpha API

Hands-on Lab

Module 5: The need for an on-prem chatGPT: the HuggingFace ecosystem

  • The problem with closed-source APIs
  • Jackhammers vs toolboxes: why using the right tool matters
  • Testing out a text/image generation model in the browser

Hands-on Lab

Module 6: Leveraging hosted and on-prem HuggingFace models

  • Testing applications without the boilerplate
  • Integrating an API endpoint in your application
  • Moving a model to your own infrastructure
  • Staying In the Loop: HuggingFace Spaces

Hands-on Lab

Note:​​

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this course, you need to have:
• PC/Laptop with internet access
• Updated web browser

Register

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