Master Generative AI: Build AI Assistants with GPTScript

Focused View

Martin Bergljung

6:30:59

0 View

1. Introduction

1. Introduction.mp4

06:05

2. Introduction to Machine Learning (ML).mp4

07:36

3. Introduction to Deep Learning (DL).mp4

10:24

4. Generative AI and LLMs.mp4

12:10

5. ChatGPT and APIs.mp4

07:52

6.1 Home.html

6. What is GPTScript.mp4

14:15

2. Getting started with GPTScript

1. Installing GPTScript on Mac.mp4

03:24

2. Installing GPTScript on Windows.mp4

02:20

3. Get an API key from OpenAI.mp4

03:50

4. Configure API Key and Run some examples on Mac.mp4

07:35

5. Configure API Key and Run some examples on Windows.mp4

16:29

Files.zip

3. My first GPTScripts

1. The structure of GTPScripts.mp4

19:10

2. Creating a script that displays the top 5 Ballon dOr winners.mp4

04:48

3. Starting the debugging environment.mp4

02:24

4. Creating a script that gets football league stats and outputs as list.mp4

11:08

5. Update script to generate an HTML page with football league stuff.mp4

11:08

6. Global Tools and Models.mp4

03:10

7. Tool context.mp4

07:28

Files.zip

4. Tool library Essential system tools

1. Introduction.mp4

02:48

2. Reading, writing, and deleting files.mp4

04:39

3. Searching for files in a folder hierarchy.mp4

03:12

4. Install Python on Windows.mp4

01:55

5. Executing commandsapps.mp4

05:06

6. Download a file and save to disk.mp4

02:16

7. Download content from URL as HTML and TXT.mp4

07:08

Files.zip

5. Tool library Searching

1. Introduction.mp4

05:32

2. Getting an API Key to use with Bing Search API.mp4

04:03

3. Bing search.mp4

04:35

4. Bing Image search.mp4

07:17

5. Getting API Key and Engine ID to use with Google Search API.mp4

04:02

6. Google search.mp4

02:51

7. Google Image search.mp4

04:04

8. Getting an API Key to use with Brave Search API.mp4

01:38

9. Brave search.mp4

02:41

10. Brave Image search.mp4

03:24

11. DuckDuckGo search.mp4

03:53

Files.zip

6. Tool library More advanced tools

1. Managing the cache (how to clean up).mp4

04:00

2. Browse and navigate websites (web crawling) and extract specific content.mp4

11:41

3. Image generation.mp4

03:26

4. Analyze the content of an image.mp4

06:57

5. Retrieval-Augmented Generation (RAG).mp4

09:08

6. Knowledge Tools.mp4

11:48

Files.zip

7. Calling OpenAPI ReST APIs from GPTScript

1. Introduction.mp4

07:01

2. Setting up the Todo server with the Todo API.mp4

03:02

3. Using the Todo API from a GTPScript.mp4

02:41

4. Using the Google Maps API from a GTPScript.mp4

08:53

Files.zip

8. Using Credentials

1. Introduction.mp4

09:21

2. Add authentication to the Todo ReST server.mp4

03:20

3. Add Todo Credentials Provider Tool to authenticate with the ReST server.mp4

12:52

Files.zip

9. Building a Chatbot and exploring how Reusable Contexts works

1. Introduction - how does chat work in GPTScript.mp4

10:16

2. Pirate chatbot.mp4

02:55

3. Hotel booking assistant chatbot.mp4

06:34

Files.zip

10. Using a different Model (LLM)

1. Introduction.mp4

05:04

2. Using a different GPT model.mp4

03:10

3. Using an OpenAI compatible API model.mp4

02:26

4. Using a model with proprietary API.mp4

03:37

Files.zip

11. Making your GPTScript reusable and available online

1. Introduction.mp4

03:45

2. Making a GPTScript available via GitHub.mp4

02:58

3. Using the GPTScript.mp4

01:24

Files.zip

12. GPTScript SDKs for different languages

1. Introduction.mp4

01:20

2. Using GPTScript from Python.mp4

04:05

3. Using GPTScript from Go.mp4

03:37

4. Using GPTScript from NodeJS.mp4

04:31

Files.zip

13. Generative AI Platform for Deploying apps that uses GPTScript

1. Introduction to the GenAI Helix platform.mp4

03:51

2. Deploying a GPTScript app to the Helix platform.mp4

14:56

Files.zip

Description

Generative AI with GPTScript: The Ultimate Course to Take You from Beginner to Pro building AI Assistants

What You'll Learn?

Fundamentals of Generative AI
How GPTScript is used to write scripts in natural language.
How to build a chatbot with GPTScript.
How to access OpenAPI compatible ReST APIs with natural language programming.
How to get data from any URL and incorporate in your script, not just from the LLM
How to access any LLM with an OpenAI-compatible API, such as GPT and Mistral.
How to access LLMs with proprietary API, such as Azure, Claude3, and Gemini.
How to make your GPTScripts available online via GitHub.
How to use the library of reusable GPTScript tools, such as Internet Browser, Image Analysis, Image Creation, Search, and Knowledge.
How to implement Retrieval-Augmented Generation (RAG) so you can include private and up-to-date content.
Techniques for integrating Generative AI with existing systems using existing code in Python, Go, or NodeJS.
How to deploy and manage GPTScripts on GenAI Platforms, such as the Helix GenAI platform.

Who is this for?

Anyone interested in the latest Generative AI development and how it can be used to make your life easier

What You Need to Know?

Not much is required as you write scripts in plain English!

More details

Description
Welcome to the ultimate hands-on course designed to equip developers of all skill levels with the tools and knowledge needed to excel in the booming world of Generative AI.
As the demand for AI-skilled developers is surging globally - making it one of the fastest-growing job categories on LinkedIn - now is the perfect time to enhance your skills and stay ahead by learning how to harness the power of Generative AI using Natural Language Programming.
Traditionally AIÂ may be considered complicated (i.e. using Machine Learning and Deep Learning), ChatGPTÂ changed all that for public, now GPTScript changes this for the developers.

Introducing GPTScript by Acorn Labs
GPTScript software from Acorn Labs is the ideal solution for developers integrating Generative AI into their company's operations, or just planning their next vacationâ€¦
GPTScript is a new cutting-edge, open-source scripting language designed to revolutionize how we interact with Large Language Models (LLMs) and automate this process.
It merges the simplicity of natural language, like English, with the robustness of traditional scripting, offering you a seamless and user-friendly programming experience.
Key Features of GPTScript: Â·
Ease of Use: GPTScript's syntax is primarily based on natural language, making it immediately accessible to even those without coding experience.
AIÂ Assistants:Â GPTScript makes it easy to build AIÂ Assistants, so you don't have to remember all the commands when interacting with different systems. The out-of-the-box assistant Clio can help you interact with systems such as AWS and GitHub.
Integration: Seamlessly access and use existing Python, Go, and NodeJS code.
API Interaction: Access websites and OpenAPI ReST APIs using natural language programming.
Retrieval-Augmented Generation (RAG) Integration: Create scripts that extend the LLM data with company or organization up-to-date data.
GPTScript software is incredibly versatile â€“ from automating complex tasks, conducting sophisticated data analysis and visualization, developing apps with capabilities in vision, image, and video processing, to creating intelligent agents and assistants capable of a wide range of functions â€“ it has you covered.
With GPTScript, you can be more efficient and create your apps faster. It is the future of AIÂ development.

About the Course
"Master Generative AI: Build AI Assistants with GPTScript" is the first course on natural language programming for the Generative AI environment.
It will take you on a complete journey from a Beginner to a Pro GenAI developer. Learn at your own pace with theory lectures and guided practical hands-on exercises.

What You Will Learn:
Fundamentals of Generative AI.
How GPTScript is used to write scripts in natural language.
How to build a chatbot with GPTScript.
How to access OpenAPIÂ compatible ReSTÂ APIs with natural language programming.
How to access any LLMÂ with an OpenAI-compatible API, such as GPT and Mistral.
How to access LLMs with proprietary API, such as Azure, Claude3, and Gemini.
How to make your GPTScripts available online via GitHub.
How to use the library of reusable GPTScript tools, such as Internet Browser, Image Analysis, Image Creation, Search, and Knowledge.
How to implement Retrieval-Augmented Generation (RAG) so you can include private and up-to-date content.
Techniques for integrating Generative AI with existing systems using existing code in Python, Go, or NodeJS.
How to deploy and manage GPTScripts on GenAIÂ Platforms, such as the Helix GenAIÂ platform.

Who Should Enroll?
Whether you are a seasoned developer or just starting, this course will provide you with essential skills to thrive in the Generative AI space.
Let's embrace the future of AI development together!

Who this course is for:
Anyone interested in the latest Generative AI development and how it can be used to make your life easier

User Reviews

Rating

average 0

Total votes0

Focused display

I have been working with Alfresco for the past 10 years. I started out building an email integration for Alfresco, integrating Apache James, so my first experience with the product was a deep dive into coding a customisation. I then started doing consulting projects based on Alfresco and found out quite quickly that I really like the product. It is very open and allows you to build pretty much anything you can come up with (or your client can come up with!).In 2011 I got the opportunity to write a book about Alfresco, which was a great experience as I really like to mentor, train, and educate people. I then did more consulting and got into bigger projects in the publishing space. During a couple of years I was also an instructor giving Alfresco classroom training courses. Then in 2014 I got the opportunity to write another book about Alfresco and specifically the CMIS standard that you can use to talk to the Alfresco content management system, again a great experience.In 2015 I started working for Alfresco with all kinds of stuff, such as developing the Alfresco SDK, creating developer documentation, writing articles, talking at conferences, prototyping new features. What I really like to do is take what we develop internally at Alfresco and try and explain it in an easy and understandable way. Since 2017 I have been working a lot with container technology as version 6.x of the Alfresco product is deployed and run with containers. The product is run locally with Docker Compose and in production with Kubernetes. It is deployed with Kubernetes Helm. So I got exposed to these new technologies during a couple of years now in real scenarios, within a company doing the transition to containers.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.