Ai Marketing Automation ChatGPT | Conversational Ai Basics Unpacked
Marketing Automation ChatGPT

Ai Marketing Automation ChatGPT | Conversational Ai Basics Unpacked

Well… we all know by now, that ChatGPT has changed the face of Ai Marketing Automation forever.  Ai (Artificial Intelligence) has been a long time coming and its finally come home to stay.  ChatGPT is certainly not the pioneer of Ai.  However, ChatGPT has brought an awareness of Ai into the public domain, perhaps more than any other of it’s rival inventions.  So, let’s delve into the nouve language pecularities surrounding ChatGPT that will now become common-place.

ChatGPT Revolution: Conversational AI | What . Who . Why

-1- What Really Is ChatGPT?

Behind The Scenes of Ai Marketing Automation

ChatGPT is an advanced language model.  It is designed to engage in interactive conversations with users. How? By providing responses and information based on the input received. The ChatGPT model utilizes the GPT-3.5 architecture, which stands for “Generative Pre-trained Transformer 3.5,” incorporating state-of-the-art techniques in Natural Language Processing. A new version of ChatGPT-4 with advanced features was just released in 2023.

ChatGPT Defining Feature Large-Scale Text

The defining feature behind ChatGPT is its large-scale training on diverse internet text.  The reason why ChatGPT gained the distinct ability to generate coherent and contextually relevant responses. It can understand and generate human-like text, making it suitable for numerous conversational applications.

ChatGPT Just Sounds Like Science Fiction

This sounds like science fiction but it’s not! ChatGPT operates by leveraging a transformer-based architecture, which enables it to analyze and process language in parallel. This results in efficient and accurate responses. While, using attention mechanisms to focus on relevant parts of the input text and generate appropriate outputs.

ChatGPT Strength Wide Array of Knowledge

One of the strengths of ChatGPT is its ability to understand and respond to a wide range of topics and questions. It can provide information, explanations, suggestions, or engage in casual conversations. While ChatGPT strives to provide helpful and accurate responses, it’s important to note that it may occasionally generate incorrect or nonsensical answers. After all it’s a machine!

-2- Who Owns & Runs ChatGPT ?

Ai Marketing Automation: A Consortia of Tech Wizards

OpenAi was founded in 2015 by a consortia of tech wizards who joined forces including: deep learning and research experts: Ilya Sutskever, Andrej Karpathy, Durk Kingma, Wojciech Zaremba; robotics and machine learning expert: Trevor Blackwell; business and operations specialists: Greg Brockman, Jessica Livingston, Pamela Vagata; reinforcement learning and Ai development expert: John Schulman and Key Contributors and Advisors: Sam Altman and Elon Musk.

OpenAi Is Also Philanthrophic

ChatGPT is owned by OpenAi, an organization focused on artificial intelligence research to promote and develop a friendly Ai to advance humanity. And, did you know OpenAi consists of two entities, that is the non-profit OpenAi Incorporated and its commercial corporation OpenAi Limited Partnership.

OpenAi’s Best Buddy Is Microsoft

Also just in case you’re wondering why OpenAi and Microsoft are buddies… OpenAi systems run on an Azure-based supercomputing platform from Microsoft! Moreover, OpenAI LP received a $1 billion funding from Microsoft in 2019, followed by a substantial $10 billion investment in 2023!

OpenAi Runs The Relationship

OpenAi is responsible for the development, training, refining and deployment of the ChatGPT model. They are on a quest to advance the capabilities of ChatGPT through continuous improvement. OpenAi’s goal is to make AI technology accessible and benefit the masses while ensuring ethical considerations and safety measures are a priority.

OpenAi Transforms Ai Language

The initial version of the GPT (Generative Pre-trained Transformer) model, which is the basis for ChatGPT, was introduced by OpenAi in June 2018. Since then, OpenAi has released subsequent versions and updates, including ChatGPT-4 with enhanced capabilities. ChatGPT was developed to address the need for an advanced language model that can engage in interactive conversations with users. The goal of developing ChatGPT was to create a system that understands and generates human-like text. By evolving ChatGPT, OpenAi continues to push the boundaries of natural language processing. And, enable more dynamic and engaging interactions between machines and humans.

ChatGPT Terminology: Conversational AI | Nouve Language

-1- Generative Pre-Trained Transformer

Ai Marketing Automation | GPT Language Model

GPT stands for Generative Pre-Trained Transformer.  It is a language model developed by OpenAI. GPT models are trained on a large corpus of data generate text data similar to the input text. A quick definition: a corpus is a collection of written texts, such as entire works of a particular author or even a body of writing based on a specific subject. ChatGPT is a fine-tuned version of OpenAI’s GPT-3.5 model, specifically designed for generating conversational responses. The model was retrained on a smaller data-set to gain the ability to generate responses that are both relevant and appropriate for conversation.

-2- Artificial Intelligence

Ai Automation | Simulating Human-Like Intelligence

Artificial Intelligence (AI) is the simulation of human intelligence in machines, designed to think and act like humans.  AI involves the development of algorithms and computer programs that can perform tasks that usually require human-like intelligence, such as recognizing patterns, learning from experience, and making decisions. So, how does a computer use Ai to understand human language?

-3- Conversational Ai

Ai Marketing Automation | Using Human-Like Conversation

But first, what’s the connection between Conversational AI and ChatGPT? Conversational AI refers to the use of artificial intelligence to enable human-like communication between computers and users. It is a branch of artificial intelligence focused on creating systems capable of engaging in human-like conversation.

Conversational Ai Techniques & Technologies

Typically, Conversational AI uses certain techniques and technologies involving natural language processing (NLP) and machine learning techniques as well as deep learning, and dialogue management systems to understand and generate human language. It is these techniques that enable machines to understand the intent, context, and sentiment behind inputs to generate appropriate responses. It aims to develop machines that can understand, interpret, and respond to natural language input from users in a meaningful and contextually relevant manner.

Conversational Ai Gazillion Applications

The applications of conversational AI are wide-ranging. It is used in chatbots, virtual assistants, voice assistants, customer support systems.  To provide information, answer questions, assist with tasks, make recommendations, and simulate human-like conversations.  In various domains, for instance in healthcare, finance, e-commerce, and booking engines.  Conversational AI is like a glimpse into the future of human-like conversations with machines. 

-4- Natural Language Processing

Ai Automation Language | Computers Understand Humans

To better understand Ai (Artificial Intelligence) takes us to yet another concept.   NLP (Natural Language Processing), is a discipline of artificial intelligence.  It focuses on the interaction between computers and human language.  Besides, enabling computers to understand, interpret, and generate human language.  So, NLP is like the bridge that fills the gap between human language and computer language. 

NLP Is The Key To Process, Analyze, Generate Text

NLP allows machines to process, analyze, and generate insights from textual or written data.  Computers use NLP to perform numerous tasks such as: language translation, sentiment analysis, summarize text, extract information, as well as answering questions.  Understanding NLP makes it possible to imagine how a computer is able to understand human language.  It is this ability that is basically the key to AI marketing automation. 

NLP Is Linguistics + Computer Science + Ai Tech

Finally, NLP combination of linguistics, computer science, and Ai techniques.  Ai marketing automation therefore uses Natural Language Processing to understand: the meaning, the context, the sentiment, and the intent behind human language to for example receive customer feedback and personalize customer communication.   The applications of NLP are numerous and include: customer support, content analysis, social media monitoring, market research, and language translation. 

-5- Advanced Language Model

Ai Automation | Deep Learning Techniques

But wait… What Exactly is an Advanced Language Model?  An advanced language model is an artificial intelligence system.  AI model once trained understands and generates human-like language. It uses deep learning techniques to analyze large amounts of text data. To initiate responses based on patterns and relationships within that data.

Advanced language models, such as ChatGPT developed by OpenAI, understand the context and meaning behind words and phrases, making them capable of generating highly human-like responses to a wide range of prompts. And can perform tasks such as answering questions, generating creative writing, and even translating languages.

Advanced language models create a system that can understand and interact with human language in a natural, intuitive way. They have the potential to transform industries by automating tasks such as customer service, marketing, and healthcare, as well as enabling efficient and personalized interactions.

ChatGPT Transformative: Conversational AI | The Future Has Arrived

Ai Marketing Automation ChatGPT

So, to recap ChatGPT is an advanced language model developed by OpenAI, to generate human-like responses to questions and prompts. The model training was done using a massive volume of data to understand and respond to numerous requests, from answering questions to composing creative writing. ChatGPT automates repetitive marketing tasks, generate personalized content and engage customers real time.

Beginner’s Guide to Get Started On ChatGPT

Now that we have looked at the concepts behind ChatGPT and AI. Our next post will take a closer look at: How To Get Started On ChatGPT.  A broad range of applications use conversational AI, such as chatbots, voice assistants, and customer service automation. Conversational AI creates seamless, human-like interactions between users and computers.  Get On Board Try Out : Register For ChatGPT here.

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Julia Kibore, is an Independent Marketing Management Consultant with over 20 years of brand, marketing and communication experience. She has held leadership positions in the FMCG, Telco, Fintech Online Payments and Mobile Money sectors as well as consulted on Marketing Strategy.

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