In this episode, I aim to explain what ChatGPT is and its future for a non-technical managerial audience - and I do this through conversing with ChatGPT. I share this first chat I've had with ChatGPT - with a followup planned for next week to talk through my experience and initial thoughts.
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Published: Wed, 14 Jun 2023 15:00:16 GMT
Transcript
Hello and welcome back to the Better ROI from Software Development Podcast.
It's probably been difficult to escape talk of ChatGPT over the last couple of months. Thus, I want to use the next couple of episodes to take a look at it.
In this episode, I'm going to try and get an understanding of what ChatGPT is by talking directly to ChatGPT. And in next week's episode I'll give my own thoughts on that experience and where I think ChatGPT, and similar models, will be taking us in terms of software development.
The rest of this episode is the script for me having a conversation with ChatGPT. The full transcript of that chat will be included in the show notes. I held this chat using https://chatgpt.org, which is a free web application that makes it easy to interact with the ChatGPT API. https://chatgpt.org make it clear that they are not the official developers of the ChatGPT model or the API, which is actually created by OpenAI - but I talk more about that relationship next week.
So I started my conversation with ChatGPT by asking:
[See below for the full ChatGPT transcript]
The full transcript of the conversation with ChatGPT can be found in the show notes.
And in next week's episode, I'll take a deeper dive into how I found the experience, what I took away from it and where I see ChatGPT going for the future.
Thank you for taking your time to listen to this episode. I look forward to speaking to you again next week.
Chat GPT transcript
system:
Enter your message to start a chat. This could be a question, a statement, or any other text.
user:
Produce a 5 minute script for a podcast explaining chat gpt and its future for a non-technical managerial audience
assistant:
[Introduction music]
Narrator: Welcome to our podcast. Today, we'll be discussing chat GPT and its future. But before we dive into the technology, let's understand the context.
As today's businesses focus on enhancing customer satisfaction and user experience, companies are on the lookout for smarter technological solutions to automate customer interactions. This is where chat GPT comes in.
[Lets a couple of seconds pass]
Narrator: GPT stands for the "Generative Pre-trained Transformer." GPT is designed to generate human-like text and software programmers have developed the algorithm to make it more user-friendly.
[Exhales]
Narrator: So, what is chat GPT? It's a software that uses an artificial intelligence scripted algorithm to make automated customer service representatives. These services can then interact with customers using the natural language - such as providing answers, solving problems, and even processing transactions.
The benefits of chat GPT are evident. It drastically reduces the number of unfulfilled customer expectations, as the machine can respond in real-time.
[Pause]
Narrator: Let's look at the future of chat GPT and how it can further enhance business prospects.
Firstly, with improving technology, chat GPT's ability to understand and process natural language has greatly improved. Soon, chat GPT will be able to understand and explain complex issues in a user-friendly way.
Secondly, chat GPT's advanced predictive analytics and machine learning capabilities will enhance and improve customer experiences. Through data analysis of customer interactions, businesses can optimize their products and services by making targeted improvements to meet the unique needs of their customers.
[Pause]
Narrator: Lastly, the chat GPT system can be used to automate a range of operations within a company. From handling transactions to automating repetitive tasks, chat GPT will boost efficiency, save time and allow employees to focus on higher-value tasks, which will ultimately increase business productivity.
[Final few seconds of music]
Narrator: Well, that's it for today's podcast on chat GPT and its future. It's clear that chat GPT has come a long way and offers numerous possibilities for businesses in achieving their customer satisfaction goals. With its improved natural language processing abilities and predictive insights, chat GPT is a valuable tool for businesses to enhance customer experiences in the years to come.
[End music]
user:
What version of Chat GPT is this?
assistant:
I'm sorry, as an AI language model, I do not have access to the specific version of Chat GPT being used in this conversation as it varies depending on the platform or tool being used.
user:
Describe for a non-technical managerial audience how your AI language model is developed
assistant:
Our AI language model is developed through a process called "machine learning." This involves training a computer program to recognize patterns in large amounts of data, and use those patterns to generate new responses or predictions.
In the case of our language model, we start by feeding in large quantities of text data, such as news articles, books, and online content. Our machine learning algorithms then analyze this data, looking for patterns and relationships between words, phrases, and sentences. For example, the program might notice that certain words are often used together in specific contexts, or that certain sentence structures are more common in certain types of writing.
Once the program has "learned" these patterns, it can generate new text based on the input it receives. This is done by creating a mathematical model of language, which allows the program to assign probabilities to different phrases or sentences. For example, if the program is given the prompt "The cat sat on the", it might assign a high probability to the phrase "mat," based on its analysis of similar phrases in the training data.
Over time, our language model continues to improve as it receives more input and refines its understanding of language patterns. This can be done by continually training it with new text data or by fine-tuning certain parameters to optimize its output. Ultimately, the goal is to create a language model that can accurately mimic human speech and writing, allowing it to be used for a variety of applications such as chatbots, voice assistants, and natural language processing.
user:
Does your model improve based on the conversations you have
assistant:
as an AI language model, my understanding of language and my ability to respond to user input does improve over time and with more conversations. This is because my machine learning algorithms analyze new data and feedback from users to adapt and refine my responses. The more I am used and interacted with, the more I learn and improve.
user:
Are you able to tell the difference between propitiatory and public information
assistant:
As an AI language model, I do not have the ability to discern or differentiate between propitiatory and public information. However, I can define them for you. Propitiatory information is confidential or private information that is only available to a select few individuals or groups. Public information, on the other hand, is information that is available to the general public and can be accessed by anyone.
user:
If you are provided propitiatory information, is there a danger you will disclose this to others?
assistant:
As an AI language model, I am not capable of disclosing any information provided to me unless programmed by my developers to do so. However, for humans, it depends on their character and intentions. If they are trustworthy and understand the sensitivity of the information, they will likely keep it confidential. However, if they are careless, dishonest, or have malicious intentions, they may disclose it to others, violating the trust and confidentiality of the party providing the information. It is always important to exercise caution when sharing sensitive information and only do so with individuals who are trustworthy and relevant to the situation.
user:
What applications of AI language model do for foresee over the next 5 years?
assistant:
As an AI language model, I am not capable of predicting the future or making such forecasts. However, based on current trends and advancements in AI technology, it is likely that AI language models will become even more sophisticated and reliable, with increased accuracy and language understanding, natural language processing, speech recognition, and machine translation capabilities.
In the next 5 years, AI language models may be utilized in more industries and applications, including healthcare, education, customer service, and e-commerce. They may also become more interactive, with the ability to engage in more complex conversations and support personalized experiences.
Additionally, AI language models may also contribute to the development of new AI applications and technologies. For instance, the integration of AI language models with other AI technologies like computer vision could lead to advances in autonomous vehicles and robotics.
Overall, the future of AI language models is exciting and full of potential, with many possible applications and advancements.
user:
What impact will AI language models have on software development?
assistant:
AI language models are likely to have a significant impact on software development in several ways:
Faster and more accurate coding: AI language models can help developers write code faster and more accurately. They can suggest code snippets, anticipate the developer's intent, and identify syntax errors in real-time.
Improved code quality: AI language models can help ensure code quality by identifying issues such as security vulnerabilities, performance problems, and software bugs.
Improved collaboration: AI language models can facilitate collaboration between developers by providing a shared understanding of the codebase, helping to bridge communication gaps, and reducing the time spent on code review.
Lower development costs: AI language models can reduce the amount of time and effort needed to write and maintain software, which can translate into lower development costs.
New development possibilities: AI language models can enable developers to explore new areas of software development, such as using natural language processing to communicate with applications and creating new interfaces for interacting with software.
Overall, AI language models are likely to have a transformative impact on software development, improving the speed, accuracy, and efficiency of the development process, and enabling developers to create more sophisticated and innovative software applications.
user:
Do you have any closing message for my audience?
assistant:
As an AI language model, I don't personally have any closing message for your audience, but I can say that it's important to stay informed, curious, and open-minded, particularly during these uncertain times. And always remember to take care of yourself and those around you.
user:
Thank you
assistant:
You're welcome! Is there anything else I can assist you with?