English | Size: 1.78 GB
Genre: eLearning
Utilize Generative AI capabilities to deliver a magical end-user experience
What you’ll learn
Dive into Conversational AI by understanding the technologies and components that make up a ChatGPT-based solution.
Hands-on experience prototyping a ChatGPT-based conversational experience
A functional Conversational AI engine prototype demonstrating your chatbot creation skills.
Sample Conversation AI training data covering key concepts: utterances, intents, entities, and dialog flow.
Customizable Python integration code to further develop your Conversational AI expertise.
With tailored course content, we’re confident participants will gain insights and skills to excel in Conversational AI and ChatGPT
Conversational AI is very popular today. We see numerous examples all throughout the day.
At home, you may have a home assistant, such as Alexa, or Google Home, or apps such as Google Assistant for setting up appointment.
If you are traveling for work, you may be talking to airline reservation chatbot for travel arrangement or hotel concierge services for hotel reservation.
Conversational AI is every where – home, work – you name it,
If you have an iPhone or iPad, you probably have Siri ready to work at your voice command.
During Covid-19 era, the emphasis on online customer engagement is rapidly increasing and more and more organizations are moving from static web pages to messaging interfaces. How do you start defining a Conversational AI solution that goes beyond simple messaging?
In 2023, we are seeing an unprecedented improvement in conversation quality with ChatGPT. Are you ready to use ChatGPT for your conversational AI solution?
Conversational AI has evolved significantly. Let me tell you all about it. It all started with Eliza in the 1960s, the very first conversation prototype. Fast forward a few years, and we saw structured conversations using bots and expert systems. Then came the big leap forward with natural language classification, Named Entity Recognition, and the rise of intelligent QA systems. The Replika experiment delved into the fascinating world of psychology, helping AI develop chemistry and engagement with users. Soon after, Conversational AI made its way into the commercial world, with big names like IBM Watson Assistant and Google Dialog Flow making waves. And finally, here we are today, with ChatGPT- a state-of-the-art language model that can engage in natural conversations on a wide range of topics.
On behalf of the Applied AI Institute, we are thrilled to welcome you to the “Build Conversational AI using GPT-4” course, a part of our Conversational and Generative AI series. This course is tailored to provide a comprehensive understanding of consultative engagement techniques to enhance end-user experiences by leveraging Conversational and Generative AI technologies, including the powerful ChatGPT.
The course is divided into multiple chapters
Chapter 1 – Introduction will provide overview of course including course objectives, intended outcomes, pre-requisite, course outline with an initial exposure to ChatGPT experience
Chapter 2 – What is conversation AI introduces you to key elements of a good conversational AI solution with an example
Chapter 3 – Set up development environment provides step-by-step instructions on how to set up Open Ai account, including secret key and set of APIs needed for building your first conversational ai solution using ChatGPT. It also created a sample test application for creating a custom recipe using ChatGPT and Dalle.
Chapter 4 – Generative AI Solution provides key concepts, tools and solutions used in building predictive and generative based conversational AI solutions.
Chapter 5 – Prototype Conversation Generative AI Solution provides step by step instructions on how to design and build a movie recommendation solution using ChatGPT and your proprietary data sets and recommendation engine
Chapter 6 introduces Advanced topics such as Disambiguation, Embedding, Chatbot System Chemistry. It also lists Conversational AI use cases which can be implemented using Generative AI technologies like ChatGPT.
Finally in Chapter 7 we summarize course contents and provide next steps as well as future learning in this area.
To successfully complete and receive certification for the course:
1. Complete all interactive quizzes after each section
2. Download sample training data and code, Complete all class assignment refine your training data as you go.
With tailored course content, we’re confident participants will gain insights and skills to excel in Conversational AI and ChatGPT
Who this course is for:
Business professionals: Those aiming to improve customer experiences with Conversational AI and explore ChatGPT opportunities
IT professionals: Individuals seeking to deepen their Conversational AI understanding and create user-friendly chatbots
Senior students in Business & IT: Learners aiming to expand their skills in Conversational AI and ChatGPT for career and academic growth
Consultants and service providers: Professionals offering Conversational AI solutions to clients while staying up-to-date with advancements
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